Instructions to use ffgcc/esimcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ffgcc/esimcse-bert-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("ffgcc/esimcse-bert-base-uncased") model = BertForCL.from_pretrained("ffgcc/esimcse-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ffgcc/esimcse-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 876 MB
-
https://huggingface.co/ffgcc/esimcse-bert-base-uncased/resolve/main/optimizer.pt
- Command line
-
hf download hf://ffgcc/esimcse-bert-base-uncased/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ffgcc/esimcse-bert-base-uncased/resolve/main/optimizer.pt
876 MB
- Xet hash:
- d46c0449e2dfec05dbe00b2500972ff1e6a6c622c6676d833152a5cae04c3009
- Size of remote file:
- 876 MB
- SHA256:
- d8f7f26b801f6a02dcc216f733cd609653f6b64e0a9697a1c342893c7fdffe68
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