Instructions to use CarmenCL/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CarmenCL/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CarmenCL/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("CarmenCL/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CarmenCL/mbart-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/CarmenCL/mbart-neutralization/resolve/main/tokenizer.json
- Command line
-
hf download hf://CarmenCL/mbart-neutralization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CarmenCL/mbart-neutralization/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 8345210245f166dee05f493e1981e9d741b5e9a6c742bc3be490d7900f3051a3
- Size of remote file:
- 17.1 MB
- SHA256:
- 86f983b6563a9468794455498914bda0eaf9a60e5c9cd5a21669a24a625e490d
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