Instructions to use hf-tiny-model-private/tiny-random-BlenderbotModel 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-BlenderbotModel 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-BlenderbotModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c6057fcfcbdfd1f78985f8f360089af94c2c1cfc7254bba959c362fb8a4d2ff
- Size of remote file:
- 117 kB
- SHA256:
- a6531478f4dbb28d5c887a6ed3837bfd0eb92b29b33e17692c5db50724342c12
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