Instructions to use hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration 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-BlenderbotSmallForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 834915b741d866921bd6c56769ba6a2e2c30426e63441ee717ce6723c1a65e63
- Size of remote file:
- 3.88 MB
- SHA256:
- 00af77ae1bdd4361d1a19675389f2b0a8bc16092b8bf81fc3e01796e3d3fed52
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