Instructions to use dragonStyle/bert-303-step35000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dragonStyle/bert-303-step35000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("dragonStyle/bert-303-step35000") model = BertForCL.from_pretrained("dragonStyle/bert-303-step35000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dragonStyle/bert-303-step35000: direct link, hf CLI and curl.
- Browser
- Download file 450 MB
-
https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dragonStyle/bert-303-step35000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/pytorch_model.bin
450 MB
- Xet hash:
- 7e4ae943886bf9ab6e54615b58dc0b31be82793314f7328f34eb61700067704c
- Size of remote file:
- 450 MB
- SHA256:
- c07dd199c5dae08e088ae415f453277035a9af612fb6cc1ba025590a0c76db03
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