Instructions to use hf-internal-testing/tiny-random-BlenderbotSmallModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotSmallModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BlenderbotSmallModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feff937605d57a978a88316cb7af530d32aea6096d056c5178f06dd9f5f06dc1
- Size of remote file:
- 3.64 MB
- SHA256:
- 5fff2d419ecde30198a15867ac187fb546e361acf009d7f4645cea67c54b88a1
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