Instructions to use hf-internal-testing/tiny-random-VideoMAEForVideoClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-VideoMAEForVideoClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="hf-internal-testing/tiny-random-VideoMAEForVideoClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-VideoMAEForVideoClassification") model = AutoModelForVideoClassification.from_pretrained("hf-internal-testing/tiny-random-VideoMAEForVideoClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-VideoMAEForVideoClassification: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-VideoMAEForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-VideoMAEForVideoClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-VideoMAEForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
148 kB
- Xet hash:
- f31aed195177c7b30c7576fc12e2048c8e80ba29e47f0d13df8bb7b8f169c818
- Size of remote file:
- 148 kB
- SHA256:
- 61a6287a25b8e0cdf8b2728047e6d160c6a44bb9dd5fc11b12b48f3192cdd4ef
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