Instructions to use clagp16/mt5-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clagp16/mt5-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("clagp16/mt5-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("clagp16/mt5-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from clagp16/mt5-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/clagp16/mt5-neutralization/resolve/main/training_args.bin
- Command line
-
hf download hf://clagp16/mt5-neutralization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/clagp16/mt5-neutralization/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 2da1f941b775fe3f75fdd557950b9ec281e1f5fdca72037fdbdd43528526252c
- Size of remote file:
- 5.84 kB
- SHA256:
- 35e409027a8059a8fdeefa1612183b8ff13c8c0db93f8ac530ba4bb8955384ec
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