Instructions to use hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 383f586be425c22cebbcb8adb6ff3724e08a13fd925ab45bafb01f9e779b6288
- Size of remote file:
- 208 kB
- SHA256:
- 742584abada5cb0cd3f9d42f73a8a2d1b5a453bb0a275078929af79a9a858692
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