Instructions to use ahmedmohamed55/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedmohamed55/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="ahmedmohamed55/checkpoints")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("ahmedmohamed55/checkpoints") model = AutoModelForVideoClassification.from_pretrained("ahmedmohamed55/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 227768e0b6a7fce2ab61ac21ce6a058009a9efb6ba496bcbc8313ec46f15e6eb
- Size of remote file:
- 5.2 kB
- SHA256:
- 26e0bfa1cf27de6c31d084834248fb195ce7c6b4ddb4a11189919dcf07954c5e
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