Instructions to use hf-internal-testing/tiny-random-BioGptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BioGptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BioGptModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BioGptModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BioGptModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cb73e10a9d488a156a47ac354a357976855cf75a2ca6ff1a84ca7c195a83144
- Size of remote file:
- 5.65 MB
- SHA256:
- 1c14cba61893d625918b580282f559fa24a48e1406061cee454cd24e682ab57f
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