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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c40a3e589d265a685d3e5537b7fb1868a10328ba48f208ad82668f84f7aac2db
- Size of remote file:
- 6.62 MB
- SHA256:
- 73592ca30e7f12ba3fafba5b8d6e0899fcd75fae262772b97f2610691e9e7e86
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