Instructions to use bocyou/clip-roberta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bocyou/clip-roberta-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bocyou/clip-roberta-finetuned")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bocyou/clip-roberta-finetuned") model = AutoModel.from_pretrained("bocyou/clip-roberta-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bocyou/clip-roberta-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/bocyou/clip-roberta-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://bocyou/clip-roberta-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bocyou/clip-roberta-finetuned/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 75ed7f706877380828b5b2e2a855eb3101557083e75b697144f556eb1c60fc96
- Size of remote file:
- 3.58 kB
- SHA256:
- 3700ef139410b47c5a7f3f091fb22a60199f8b1d80c01ba88fda7c0d6d913b91
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