Instructions to use PlanTL-GOB-ES/bsc-bio-ehr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PlanTL-GOB-ES/bsc-bio-ehr-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PlanTL-GOB-ES/bsc-bio-ehr-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PlanTL-GOB-ES/bsc-bio-ehr-es") model = AutoModelForMaskedLM.from_pretrained("PlanTL-GOB-ES/bsc-bio-ehr-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PlanTL-GOB-ES/bsc-bio-ehr-es: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://PlanTL-GOB-ES/bsc-bio-ehr-es@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- 0307924340c9a9e5c8532bc1f0a8042496c4242c5edaa99c73d8871079a0feec
- Size of remote file:
- 499 MB
- SHA256:
- 8465af10873f1fff9361fd90d493db06f130f7065c0c9122951f0225b860b42c
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