Instructions to use leonweber/biomuppet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonweber/biomuppet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="leonweber/biomuppet")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("leonweber/biomuppet") model = AutoModelForTokenClassification.from_pretrained("leonweber/biomuppet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a643cf00baf3e4f9eb6b93ad36180d18a6ca9cb2801c10e891952f5e1d8d36e
- Size of remote file:
- 449 MB
- SHA256:
- 4a9d84c5f29ef0e717acb7f119e2c1ce9d9a55d008b0be443ce073fd0aad27f7
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