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:
- b5ad2f3618b0bba43204d3787ac847006c0a721b8cd4b8075753ff6c5c9fd74e
- Size of remote file:
- 2.1 MB
- SHA256:
- 539311c89110fe2b9f4a4cb43610a70bb2f84af2a50fda70c5338690882b7fae
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