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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d54ccbfb26279b26ccbba0a091f27c747962d498c71d4214103ad34e814e3c16
- Size of remote file:
- 5.65 MB
- SHA256:
- ed1edf3d1300ec0b89c563db27981cf010b542c38fba367a5250b965966a2669
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