Instructions to use ielabgroup/CharacterBERT-DR-Aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/CharacterBERT-DR-Aug with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/CharacterBERT-DR-Aug") model = AutoModel.from_pretrained("ielabgroup/CharacterBERT-DR-Aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ielabgroup/CharacterBERT-DR-Aug: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/ielabgroup/CharacterBERT-DR-Aug/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ielabgroup/CharacterBERT-DR-Aug/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ielabgroup/CharacterBERT-DR-Aug/resolve/main/pytorch_model.bin
419 MB
- Xet hash:
- 48e1bd72bca2cb836b053578970adc683b5aed1b455d2c5f26114531e21a2ccd
- Size of remote file:
- 419 MB
- SHA256:
- c4bcf66e28af9aa84ad7e6f1929518479666389116840a858dd4c06a8f752333
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.