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 optimizer.pt from ffgcc/esimcse-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 2.84 GB
-
https://huggingface.co/ffgcc/esimcse-roberta-large/resolve/main/optimizer.pt
- Command line
-
hf download hf://ffgcc/esimcse-roberta-large/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ffgcc/esimcse-roberta-large/resolve/main/optimizer.pt
2.84 GB
- Xet hash:
- 6bdc27fd93e8162fc5ea401053809179eaac32c4514c3ff061c25a664da88ab3
- Size of remote file:
- 2.84 GB
- SHA256:
- 92305968933c39b7e7d2f35f6aec76dee8856410015a3cd7873addd96000579a
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