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:
- c15021882d2ce23450f9cddaced94e16817762e1855cd574a9ce4ec0b9718dd4
- Size of remote file:
- 122 kB
- SHA256:
- ba28fc6b8f0d08dc71d1379f848610ce759ceac2f396998c942b3873e94e043e
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