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:
- 2e95f1348e53b6e8cd698d18375fa4ff9eab6f92617a5db51a4e0b055ad97398
- Size of remote file:
- 6.68 MB
- SHA256:
- 6786bc2ccaff5f26499e0f42a04e6f95e0b101463ebbcf9fd722921f3550f57b
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