Instructions to use joheras/clinico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/clinico with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="joheras/clinico")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("joheras/clinico") model = AutoModelForTokenClassification.from_pretrained("joheras/clinico") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Mar11_17-54-22_minion/1678553667.5775871/events.out.tfevents.1678553667.minion.3347124.1
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runs/Mar11_17-54-22_minion/events.out.tfevents.1678553667.minion.3347124.0
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tokenizer.json
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"max_length": 512,
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"strategy": "LongestFirst",
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training_args.bin
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