Instructions to use hf-internal-testing/tiny-random-TvpModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TvpModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-TvpModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-TvpModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-TvpModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-TvpModel: direct link, hf CLI and curl.
- Browser
- Download file 3.92 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-TvpModel/resolve/refs%2Fpr%2F21/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TvpModel@refs/pr/21/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-TvpModel/resolve/refs%2Fpr%2F21/model.safetensors
3.92 MB
- Xet hash:
- ae997eefcb8adede6f6d01afb1bf11d64806b6713e43c64ccbcb2c7373ff61c4
- Size of remote file:
- 3.92 MB
- SHA256:
- 61afabc15b04a1483aed0fff4beba88d2c8c8c6bbed5ea3be0b16679d04c4a27
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