Instructions to use hf-internal-testing/tiny-random-prophetnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-prophetnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-prophetnet")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-prophetnet") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-prophetnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de788a95d991444aaea6acb0276b994c2927d1bdfcaac48bd8f5bc7656e93181
- Size of remote file:
- 2.14 MB
- SHA256:
- 2fcdf7cf31ff849b0482bdb08267939ca721c719fa620e06949b3f59f7350307
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