Instructions to use hf-internal-testing/tiny-random-blenderbot-small 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-small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-blenderbot-small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a09ce9dfbd9def9c6dbfdabd0f126db9e5cce26cc610ab1e950480383b3b79b
- Size of remote file:
- 1.55 MB
- SHA256:
- 2b36c994c145acc9badc39e6f348265ac92953eb96c4ca128be8e0a82ed14892
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.