Instructions to use hf-internal-testing/tiny-random-TimesformerForVideoClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TimesformerForVideoClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="hf-internal-testing/tiny-random-TimesformerForVideoClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-TimesformerForVideoClassification") model = AutoModelForVideoClassification.from_pretrained("hf-internal-testing/tiny-random-TimesformerForVideoClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-TimesformerForVideoClassification: direct link, hf CLI and curl.
- Browser
- Download file 262 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-TimesformerForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TimesformerForVideoClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-TimesformerForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
262 kB
- Xet hash:
- c78594ada7277d7222934c6da6d285fef17040eb57883fcdd9d6613e95f0d75a
- Size of remote file:
- 262 kB
- SHA256:
- 1024833c72f4fce5b232afa16a8537fb45e4e17312b20ddac935f68446cfa826
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