Instructions to use ffgcc/gsInfoNCE-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffgcc/gsInfoNCE-roberta-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("ffgcc/gsInfoNCE-roberta-large") model = RobertaForCL.from_pretrained("ffgcc/gsInfoNCE-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ffgcc/gsInfoNCE-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 2.84 GB
-
https://huggingface.co/ffgcc/gsInfoNCE-roberta-large/resolve/main/optimizer.pt
- Command line
-
hf download hf://ffgcc/gsInfoNCE-roberta-large/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ffgcc/gsInfoNCE-roberta-large/resolve/main/optimizer.pt
2.84 GB
- Xet hash:
- 56df38c1e476ce37555d8616139af8551a2777de243999c6c54d690a233e402b
- Size of remote file:
- 2.84 GB
- SHA256:
- e51ae3c6336864f1604dc2d8d77d2198cbfbf10b117af85ca57088688c522bfc
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