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:
- 7ec049d30b33837a35ac3fa788aa61fd1caedec761ac37f45eb4b72924aeb26b
- Size of remote file:
- 2.1 MB
- SHA256:
- 261e7be5643a24fb39ab623032a58086a239e34853c16c8996b97e0f25cb9739
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