Instructions to use hf-tiny-model-private/tiny-random-BioGptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BioGptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-BioGptModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BioGptModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BioGptModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea60689f72be6d47e9e2172735ecca38f536031e5bb1765151ee4f1100200e01
- Size of remote file:
- 5.63 MB
- SHA256:
- fd2db7d9ad70db28b04daecc66d88d6f30b5ad0fb935df4d7ab55b9e87d6b264
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