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:
- 1ebb443b464f717efb81e68c18d141fc2a9a841b84b8dc763cd6856e15c27793
- Size of remote file:
- 6.7 MB
- SHA256:
- c8ec04bd6716e36b738fc5af45e3fd45a4aeef8904b63850ed88f177e6cecde7
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