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 tokenizer.json from clagp16/mt5-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/clagp16/mt5-neutralization/resolve/main/tokenizer.json
- Command line
-
hf download hf://clagp16/mt5-neutralization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/clagp16/mt5-neutralization/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- dee811037d369c051a2961d211009c9632257a21527e498b2fe9a57e8a5ee6f6
- Size of remote file:
- 16.4 MB
- SHA256:
- 5f47eb5c71090da540a205198ab25536a203255a5d4500e51f861050302a22c1
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