Instructions to use AnonymousSub/ucf_101_subset_100_samples_vit_sample_rate_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/ucf_101_subset_100_samples_vit_sample_rate_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="AnonymousSub/ucf_101_subset_100_samples_vit_sample_rate_1000")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("AnonymousSub/ucf_101_subset_100_samples_vit_sample_rate_1000") model = AutoModel.from_pretrained("AnonymousSub/ucf_101_subset_100_samples_vit_sample_rate_1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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