Transformers
TensorBoard
Safetensors
Spanish
mbart
text2text-generation
simplification
Generated from Trainer
Instructions to use raqdo09/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raqdo09/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("raqdo09/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("raqdo09/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from raqdo09/mbart-neutralization: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/raqdo09/mbart-neutralization/resolve/main/model.safetensors
- Command line
-
hf download hf://raqdo09/mbart-neutralization/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/raqdo09/mbart-neutralization/resolve/main/model.safetensors
2.44 GB
- Xet hash:
- cd776c5bfebc42b96bb8059cb45ee15612d69e6646d24e2878549b313aa9da08
- Size of remote file:
- 2.44 GB
- SHA256:
- be81fdab8cada8f8cdd8d57dfd898b9eeb36743291ee9865ff988dadb47b2efc
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