Instructions to use ffgcc/esimcse-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffgcc/esimcse-roberta-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("ffgcc/esimcse-roberta-large") model = RobertaForCL.from_pretrained("ffgcc/esimcse-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ffgcc/esimcse-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/ffgcc/esimcse-roberta-large/resolve/main/training_args.bin
- Command line
-
hf download hf://ffgcc/esimcse-roberta-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ffgcc/esimcse-roberta-large/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- bb7a7bfddcfc0f539ec0da0d697e5a1a4cfbeb2dd212934a0e77d9fe0978d2fc
- Size of remote file:
- 2.1 kB
- SHA256:
- 231f592aa03f827b78510fdb3cdbe456071da539ed468e0104ec3880f3f8d38a
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