Instructions to use SigmarAI/MBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SigmarAI/MBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SigmarAI/MBART") model = AutoModelForSeq2SeqLM.from_pretrained("SigmarAI/MBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SigmarAI/MBART: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/SigmarAI/MBART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SigmarAI/MBART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SigmarAI/MBART/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- a7592606ba374823de20f104ca3327917d84f06a97273d24fdbb231aeb86c5ae
- Size of remote file:
- 2.44 GB
- SHA256:
- a8725e6b6650f402665d34d78249f8e958bccb3e73ea11d9f85ce3439c1de356
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