Instructions to use aimarsg/bsc-bio-ehr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/bsc-bio-ehr-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/bsc-bio-ehr-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/bsc-bio-ehr-es") model = AutoModelForTokenClassification.from_pretrained("aimarsg/bsc-bio-ehr-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 32
Browse files
pytorch_model.bin
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runs/Mar16_20-03-56_69a47a24fff1/events.out.tfevents.1678997368.69a47a24fff1.128.0
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