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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84f4fed4855dc7d8618a49723fe69bd6e92ec98f7a510ed400177fd8b4fa5898
- Size of remote file:
- 5.64 MB
- SHA256:
- e54c04d729b032c2df45020b2695625eb45cbc0f5776fec8cf2c610f06855554
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