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 training_args.bin from dragonStyle/bert-303-step35000: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/training_args.bin
- Command line
-
hf download hf://dragonStyle/bert-303-step35000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/training_args.bin
2.03 kB
- Xet hash:
- f9ef85b9316b43784ae9ec555c0eb8b5ab0c1000e78e69cb750d203739319da0
- Size of remote file:
- 2.03 kB
- SHA256:
- b7605b2cc91e8b7f01e5e90f8905571564e02a06d9aa1f9132188bae1e1d4122
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