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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37dffe075703c79f726e463ddea303b73b329b12cfc078622c6c11a2bd04e2dd
- Size of remote file:
- 992 kB
- SHA256:
- f62b5ea937ea5d89b528766dbaa756ac0ed05fe8e8ee6fc0181fc143e7ffb4f7
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