Instructions to use hf-tiny-model-private/tiny-random-BlenderbotSmallModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BlenderbotSmallModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-BlenderbotSmallModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1dc322e01cfb557a60d6f919fc350cbc9272d7f69f19c6c97663607fcc2f5c3
- Size of remote file:
- 3.58 MB
- SHA256:
- 09e7f9e46101c705a5530fd520807a6f370faea56ec9a305ce6740fa12dcd8fe
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