Instructions to use kamalkraj/BioELECTRA-PICO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamalkraj/BioELECTRA-PICO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kamalkraj/BioELECTRA-PICO")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kamalkraj/BioELECTRA-PICO") model = AutoModelForTokenClassification.from_pretrained("kamalkraj/BioELECTRA-PICO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab1508c18067180168c05bb366457db19ed6a8135d619725a180f9d69c2d1ead
- Size of remote file:
- 436 MB
- SHA256:
- 21a3975e1240914287657f0d2200a57cbc691a62303ccc6bd39768881da7f6b6
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