Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers
Transformers.js
English
nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use nomic-ai/nomic-embed-text-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/nomic-embed-text-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use nomic-ai/nomic-embed-text-v1.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True) model = AutoModel.from_pretrained("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True, device_map="auto") - Transformers.js
How to use nomic-ai/nomic-embed-text-v1.5 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'nomic-ai/nomic-embed-text-v1.5'); - Notebooks
- Google Colab
- Kaggle
franken config + fix st
Browse files- config.json +54 -2
- sentence_bert_config.json +1 -4
config.json
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{
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"bos_token_id": null,
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"classifier_dropout": null,
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"eos_token_id": null,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"model_type": "nomic_bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"rope_parameters": {
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"rope_theta": 1000.0,
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"rope_type": "default"
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},
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"transformers_version": "5.3.0.dev0",
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"type_vocab_size": 2,
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"vocab_size": 30528
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}
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{
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"activation_function": "swiglu",
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"architectures": [
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"NomicBertModel"
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],
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"attention_probs_dropout_prob": 0.0,
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"attn_pdrop": 0.0,
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"auto_map": {
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"AutoConfig": "nomic-ai/nomic-bert-2048--configuration_hf_nomic_bert.NomicBertConfig",
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"AutoModel": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertModel",
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"AutoModelForMaskedLM": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForPreTraining",
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"AutoModelForSequenceClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForSequenceClassification",
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"AutoModelForMultipleChoice": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForMultipleChoice",
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"AutoModelForQuestionAnswering": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForQuestionAnswering",
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"AutoModelForTokenClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForTokenClassification"
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},
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"bos_token_id": null,
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"causal": false,
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"classifier_dropout": null,
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"dense_seq_output": true,
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"embd_pdrop": 0.0,
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"eos_token_id": null,
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"fused_bias_fc": true,
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"fused_dropout_add_ln": true,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_epsilon": 1e-12,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"max_trained_positions": 2048,
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"mlp_fc1_bias": false,
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"mlp_fc2_bias": false,
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"model_type": "nomic_bert",
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"n_embd": 768,
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"n_head": 12,
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"n_inner": 3072,
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"n_layer": 12,
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"n_positions": 8192,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pad_vocab_size_multiple": 64,
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"parallel_block": false,
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"parallel_block_tied_norm": false,
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"prenorm": false,
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"qkv_proj_bias": false,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.0,
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"rope_parameters": {
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"rope_theta": 1000.0,
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"rope_type": "default"
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},
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"rotary_emb_base": 1000,
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"rotary_emb_fraction": 1.0,
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"rotary_emb_interleaved": false,
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"rotary_emb_scale_base": null,
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"rotary_scaling_factor": null,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.0,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "5.3.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"use_flash_attn": true,
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"use_rms_norm": false,
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"use_xentropy": true,
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"vocab_size": 30528
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}
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sentence_bert_config.json
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{
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"max_seq_length": 8192,
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"do_lower_case": false
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"model_args": {
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"safe_serialization": true
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}
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}
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{
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"max_seq_length": 8192,
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"do_lower_case": false
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}
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