Instructions to use hf-tiny-model-private/tiny-random-TimesformerForVideoClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-TimesformerForVideoClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="hf-tiny-model-private/tiny-random-TimesformerForVideoClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-TimesformerForVideoClassification") model = AutoModelForVideoClassification.from_pretrained("hf-tiny-model-private/tiny-random-TimesformerForVideoClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-TimesformerForVideoClassification: direct link, hf CLI and curl.
- Browser
- Download file 262 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-TimesformerForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-TimesformerForVideoClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-TimesformerForVideoClassification/resolve/refs%2Fpr%2F1/model.safetensors
262 kB
- Xet hash:
- 4e956f08b0ee86ac763e4b3518c8a77ae206cccb29401552f85284c3ee819885
- Size of remote file:
- 262 kB
- SHA256:
- d13f642b5d18608132b4e0569a70d8a5b79296f7eebed177e30ddd160f0c2fda
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