Instructions to use hf-internal-testing/tiny-random-PegasusXForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PegasusXForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PegasusXForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-PegasusXForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d51702b521cb3d06fa42bed36a0c45f71b75c82f7d2de6950bfe8bc127711e3
- Size of remote file:
- 6.2 MB
- SHA256:
- abb6333ef67381271c15fa30ecd933027c176f8f05cc2ff70f684ef7382716ae
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