Instructions to use facebook/mbart-large-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-50 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-50") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/mbart-large-50: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/facebook/mbart-large-50/resolve/refs%2Fpr%2F6/pytorch_model.bin
- Command line
-
hf download hf://facebook/mbart-large-50@refs/pr/6/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/mbart-large-50/resolve/refs%2Fpr%2F6/pytorch_model.bin
2.44 GB
- Xet hash:
- 2a6975683c9d010e92f117965cb5ee2b8b6e87daa0818dd8e8ea1a502d109b8a
- Size of remote file:
- 2.44 GB
- SHA256:
- ee44fb4c607895f34b49c65091e62ba0b15b2cac5eac0c75f2c6c9dbce3cb10e
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