Instructions to use hf-internal-testing/tiny-random-BlenderbotModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BlenderbotModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830ba29b6bd17638510fec0f8547a7d8487b20f2303a932649947310169fc946
- Size of remote file:
- 193 kB
- SHA256:
- e78557b926b6827a8f7e40978f9cb4ea81f0e863e9fe8235c8d5db7d9b4ce21b
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