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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef8de9589e04bf413bad9f218e4f4af9d9edd80c277bcbfe60791fa46c2aed3
- Size of remote file:
- 3.66 MB
- SHA256:
- db5067c0b2371649f3bae4e456809ecb68269a48b3f603d9e871712ddb0e5209
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