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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 184551b1ada09091b42c7081fa0678aa133a3965f40092a1e311983983699986
- Size of remote file:
- 3.66 MB
- SHA256:
- cd39704c294ae39a31d892fba3cfe87bee968797a07ae3134f87d5d10ce81353
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