Instructions to use hf-internal-testing/tiny-random-UdopModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UdopModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-UdopModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UdopModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UdopModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-UdopModel: direct link, hf CLI and curl.
- Browser
- Download file 4.97 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-UdopModel/resolve/refs%2Fpr%2F21/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UdopModel@refs/pr/21/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-UdopModel/resolve/refs%2Fpr%2F21/model.safetensors
4.97 MB
- Xet hash:
- 5c29fb106d5ccc6ff0500a2508f5407ef2928e3f0bcd84bf7dc7fce9a0eeeb80
- Size of remote file:
- 4.97 MB
- SHA256:
- d6855c6f9293a5aa76de12e9f3d563b57360d61cc9992bb9bcd300e4b7a8c2bc
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