Instructions to use hf-internal-testing/tiny-random-PegasusXModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PegasusXModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-PegasusXModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PegasusXModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-PegasusXModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7d3f67b50f0c1e51aeea9cc5574aefc75da25e73486a2ee7d57fcdaba01eba6
- Size of remote file:
- 6.2 MB
- SHA256:
- 847c100885e52fd957a223b623fccc73cfec9a7e929464ff1d6f25bdd36d921f
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