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 optimizer.pt from SigmarAI/MBART: direct link, hf CLI and curl.
- Browser
- Download file 4.89 GB
-
https://huggingface.co/SigmarAI/MBART/resolve/main/optimizer.pt
- Command line
-
hf download hf://SigmarAI/MBART/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SigmarAI/MBART/resolve/main/optimizer.pt
4.89 GB
- Xet hash:
- 2c0d242df6e5c98b84bef98300049f50e9cb424cd84e0fbd4758733c22a2e1c5
- Size of remote file:
- 4.89 GB
- SHA256:
- 06b6fc6cb8072da0d27a493ec2218f7a3a0c4fc2802bdb252e1ee9dc6761fb00
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