Instructions to use nishhaaann/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nishhaaann/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nishhaaann/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nishhaaann/results") model = AutoModelForSequenceClassification.from_pretrained("nishhaaann/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +36 -0
- model.safetensors +3 -0
- runs/Dec13_07-09-08_d16a4796c344/events.out.tfevents.1734073752.d16a4796c344.1215.0 +3 -0
- runs/Dec13_07-11-37_d16a4796c344/events.out.tfevents.1734073898.d16a4796c344.1215.1 +3 -0
- runs/Dec13_07-13-05_d16a4796c344/events.out.tfevents.1734073986.d16a4796c344.1215.2 +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "medicalai/ClinicalBERT",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"vocab_size": 119547
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff9ecac4bea8d6e377e5901bb57bf0bea713ae21e3d606c3955519ae312ca776
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size 541320452
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runs/Dec13_07-09-08_d16a4796c344/events.out.tfevents.1734073752.d16a4796c344.1215.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:762789e0d7c3381e48db3a65adce7fce6d2851b52885d832c48a1c4b21db2b30
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size 5092
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runs/Dec13_07-11-37_d16a4796c344/events.out.tfevents.1734073898.d16a4796c344.1215.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:92b5ddf3bb3249c59922074b5d0753e3c64d108f20ac278cfdb0d850f862b14a
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size 5092
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runs/Dec13_07-13-05_d16a4796c344/events.out.tfevents.1734073986.d16a4796c344.1215.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9568ee84ae3bf99cd377c217e9450c24d9e72ad4ebfcb66d896e2cfc2f503e7
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size 5605
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d5ea0bc4e3a8b1a747d55e9c9be30cb8d434e20984c5710d2302eb975f986cb
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size 5240
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