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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88232a9f5f98862a3ab7ed3b054986c3f0d949853300769cc03cf7f90bee7322
- Size of remote file:
- 211 kB
- SHA256:
- 97aac8a2033330c00c3e5067680932ffce64255675f8ff40e06e024203ba4be7
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