Instructions to use hf-internal-testing/tiny-random-blenderbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-blenderbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-blenderbot")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-blenderbot") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-blenderbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d083f65b15a21fe333f2bdd66b505ca2d858bbf9f0ff6c50762112726a0af2c8
- Size of remote file:
- 1.18 MB
- SHA256:
- 1604f75f1e0efd8ee5e4aa404cf9167f5560c2c52331946bc01feba64e17e8f8
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