Instructions to use hf-internal-testing/tiny-random-PegasusForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PegasusForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PegasusForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-PegasusForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0c76101d57ee86d4780ee23530d479594dfc8177636432a603f68b396d9a0ef
- Size of remote file:
- 6.6 MB
- SHA256:
- 4d60cc2d200e8af17294f7fbf514f9770c599a689578359ef54137ed9075b255
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