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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad4009d8d84e6570fa3ec2b6e7e801e60dc7752846fcf778efb75a61b627110
- Size of remote file:
- 5.63 MB
- SHA256:
- ab4c85466a89d0c1e58ae1dce7545c0a17087db449989de79819fa9146c0fb4f
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