Instructions to use lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16") model = AutoModelForVideoClassification.from_pretrained("lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16@refs/pr/1/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16/resolve/refs%2Fpr%2F1/training_args.bin
3.58 kB
- Xet hash:
- ac27092b64d3905529d66d61b1e817b842af1743652c6c1c65dfeb718b40c843
- Size of remote file:
- 3.58 kB
- SHA256:
- 486a541e220b7de41ccbee1395ac78112fc83ea1b38fc71e0354e7814d4dbf6b
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