Transformers
Safetensors
Spanish
t5
text2text-generation
simplification
Generated from Trainer
text-generation-inference
Instructions to use carmengoar/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carmengoar/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("carmengoar/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("carmengoar/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from carmengoar/mbart-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/carmengoar/mbart-neutralization/resolve/main/tokenizer.json
- Command line
-
hf download hf://carmengoar/mbart-neutralization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/carmengoar/mbart-neutralization/resolve/main/tokenizer.json
2.42 MB
- Xet hash:
- 7d46f1242522bb9f0697b0feaae841a4bbef2fb9850bac0d60d01675f773589c
- Size of remote file:
- 2.42 MB
- SHA256:
- b43475fe53cdb92de6fe7f9572cbb642abbbe4fb7fd1dac0f007200bfbc33b04
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