Instructions to use hf-tiny-model-private/tiny-random-BartForConditionalGeneration 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-BartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed312dbbf1b183e976e1d32359423d808ce38fd180e5d77825f3dd96a459fe6b
- Size of remote file:
- 142 kB
- SHA256:
- 3259a547959f562c7260588819e6aa4963206c5b2fb7493be6abbec7a823df63
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