Instructions to use hf-internal-testing/tiny-random-BlenderbotModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BlenderbotModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ac98baa2925a679a9394e794fccb38061062377d7171e75d9fbee3b71ea0de1
- Size of remote file:
- 137 kB
- SHA256:
- 87d4632b7f4df4e46c2ddfb5289d3c6595704c994ac0ca5d722696245c94765e
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