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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-ProphetNetModel: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-ProphetNetModel/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-ProphetNetModel@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-ProphetNetModel/resolve/refs%2Fpr%2F1/model.safetensors
2.1 MB
- Xet hash:
- 7c7fee0a61fffaeea6f975d7e35d536cbdf23fa38063d6d77c22010ba5c54640
- Size of remote file:
- 2.1 MB
- SHA256:
- 5490c466729dbc13ee5b1e11d0b021d816f2fc3faa9fa067e893a19389b29a2b
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