Instructions to use ielabgroup/CharacterBERT-DR-ST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/CharacterBERT-DR-ST with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/CharacterBERT-DR-ST") model = AutoModel.from_pretrained("ielabgroup/CharacterBERT-DR-ST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ielabgroup/CharacterBERT-DR-ST: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/ielabgroup/CharacterBERT-DR-ST/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ielabgroup/CharacterBERT-DR-ST/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ielabgroup/CharacterBERT-DR-ST/resolve/main/pytorch_model.bin
419 MB
- Xet hash:
- 833dc914d8de8c036a36e8a01aaaf7b929882661873e21be6aa068b7d2dc59ff
- Size of remote file:
- 419 MB
- SHA256:
- ce9d371237a45885c905329697962d2aa5904bbfad173f43da4a8a599a78a97b
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