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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cd9a508c8a635dfd6b59c0623d4fee17ec6a6954b37418d06e84576fdc2b1b8
- Size of remote file:
- 221 kB
- SHA256:
- 73fbf3cc5ed7e77cc7c5511c1479d08b85621cdf6aa0605f1803bec3943b8c2e
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