Transformers
TensorBoard
Safetensors
mbart
text2text-generation
simplification
Generated from Trainer
Instructions to use frluquba/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frluquba/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("frluquba/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("frluquba/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from frluquba/mbart-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/frluquba/mbart-neutralization/resolve/main/tokenizer.json
- Command line
-
hf download hf://frluquba/mbart-neutralization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/frluquba/mbart-neutralization/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 3cf3a74937abc06b00f21d750d7a635fe45e7b48c4a00e62e33a6c093b689ede
- Size of remote file:
- 17.1 MB
- SHA256:
- ef126060ddcab67250020d3e4fff2150e3946ba9e7cea24b2a18dd969e0469da
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