Instructions to use yimiwang/roberta-petco-fullemailbody-ctr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yimiwang/roberta-petco-fullemailbody-ctr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yimiwang/roberta-petco-fullemailbody-ctr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yimiwang/roberta-petco-fullemailbody-ctr") model = AutoModelForSequenceClassification.from_pretrained("yimiwang/roberta-petco-fullemailbody-ctr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files- model.safetensors +1 -1
- tmp-checkpoint-105/config.json +32 -0
- tmp-checkpoint-105/model.safetensors +3 -0
- tmp-checkpoint-105/optimizer.pt +3 -0
- tmp-checkpoint-105/training_args.bin +3 -0
- training_args.bin +1 -1
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cbfad075f56a3853e76980ae4582372a8b6591b30104c3d57d1537d7299c936
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size 437955572
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tmp-checkpoint-105/config.json
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{
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"_name_or_path": "google-bert/bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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tmp-checkpoint-105/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:911568dfb1a19a113e5824f84023fec47b6cc786c4458d04100c2f68536ba8ea
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size 437955572
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tmp-checkpoint-105/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe87c33d98a86d22a2a7cdff362fac8fec1dbc16174c74b682f0f4d94bc7f7c4
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size 743866986
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tmp-checkpoint-105/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:104f3355b8f186dc815c07d5837ae9c72f269908e9ab907f9b48636c07c989d5
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size 4920
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4920
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcc3e2b5541663547af4e3c848444336d88de385d296c206ff4ca38f98009dc2
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size 4920
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