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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1679e15ce38eaeb9476595e3f1cb0fd26a27820334732f454f3eae2c12b2ab2
- Size of remote file:
- 221 kB
- SHA256:
- c761ff7003789a8d4a69d2b41a388b8adddeb4b6bfadde4eabe9aa0b362b651c
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