Instructions to use hf-tiny-model-private/tiny-random-BlenderbotForConditionalGeneration 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-BlenderbotForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d376ef443add51a8e21aa31abf323d699c3b130d62bf50ebebc9381e7ab939db
- Size of remote file:
- 142 kB
- SHA256:
- 5cd43ec78bf3e6b93271eaa0b7214448176f611fbe028ceb0f2f114d86033dfa
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