Instructions to use hf-internal-testing/tiny-random-ProphetNetModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ProphetNetModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ProphetNetModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ProphetNetModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ProphetNetModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c7fee0a61fffaeea6f975d7e35d536cbdf23fa38063d6d77c22010ba5c54640
- Size of remote file:
- 2.1 MB
- SHA256:
- 5490c466729dbc13ee5b1e11d0b021d816f2fc3faa9fa067e893a19389b29a2b
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