Transformers
TensorBoard
Safetensors
mbart
text2text-generation
simplification
Generated from Trainer
Instructions to use JoseLuis95/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoseLuis95/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoseLuis95/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("JoseLuis95/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JoseLuis95/mbart-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/JoseLuis95/mbart-neutralization/resolve/main/tokenizer.json
- Command line
-
hf download hf://JoseLuis95/mbart-neutralization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JoseLuis95/mbart-neutralization/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 021e1f9890aaca5950aeb40ada79b04e509206abbb1d88156f82d876eaca3800
- Size of remote file:
- 17.1 MB
- SHA256:
- 9472a5f3613a4d5b4fc0bc78c944dd2edbcb2ceed3defe1c760efdc0ffc0fded
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