Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use scales-okn/ontology-memorandum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scales-okn/ontology-memorandum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scales-okn/ontology-memorandum")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scales-okn/ontology-memorandum") model = AutoModelForSequenceClassification.from_pretrained("scales-okn/ontology-memorandum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
165d6a4
1
Parent(s): baf0e8f
Model save
Browse files- config.json +7 -7
- pytorch_model.bin +2 -2
- runs/Jul06_00-13-44_delilah/1657084488.2964714/events.out.tfevents.1657084488.delilah.144799.1 +3 -0
- runs/Jul06_00-13-44_delilah/events.out.tfevents.1657084488.delilah.144799.0 +3 -0
- runs/Jul06_00-13-44_delilah/events.out.tfevents.1657085415.delilah.144799.2 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- training_args.bin +2 -2
config.json
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{
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"_name_or_path": "scales-okn/
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads":
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"num_hidden_layers":
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size":
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"pos_att_type": [
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"p2c",
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"c2p"
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 0,
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"vocab_size": 128001
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}
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{
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"_name_or_path": "scales-okn/docket-language-model",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type": [
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"p2c",
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"c2p"
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"type_vocab_size": 0,
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"vocab_size": 128001
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}
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pytorch_model.bin
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runs/Jul06_00-13-44_delilah/1657084488.2964714/events.out.tfevents.1657084488.delilah.144799.1
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runs/Jul06_00-13-44_delilah/events.out.tfevents.1657084488.delilah.144799.0
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runs/Jul06_00-13-44_delilah/events.out.tfevents.1657085415.delilah.144799.2
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size 512
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "split_by_punct": false, "sp_model_kwargs": {}, "vocab_type": "spm", "special_tokens_map_file": null, "
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{"do_lower_case": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "split_by_punct": false, "sp_model_kwargs": {}, "vocab_type": "spm", "special_tokens_map_file": null, "name_or_path": "scales-okn/docket-language-model", "tokenizer_class": "DebertaV2Tokenizer"}
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training_args.bin
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