Instructions to use hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8909a107619c6a3ae235b0736da39fae6d9db90d20f45b03cd52efa2be8d8ece
- Size of remote file:
- 3.87 MB
- SHA256:
- 16c0fcaa1c8e5ff24eb0acedcdcc5103eec0226160b5920ef3e2498491059767
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