Instructions to use hf-internal-testing/tiny-random-BioGptForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BioGptForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BioGptForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BioGptForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BioGptForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3c5a5b20c2c7c15d704fe34a3f6d824003a9a3afd9c0baa728bd15244700c94
- Size of remote file:
- 5.65 MB
- SHA256:
- 92f9c7304331a47c3137e235ca7e9d15c7deea98b5e49774ece0bb738b231368
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