Instructions to use multidefmod/dore-mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use multidefmod/dore-mbart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("multidefmod/dore-mbart") model = AutoModelForSeq2SeqLM.from_pretrained("multidefmod/dore-mbart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from multidefmod/dore-mbart: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/multidefmod/dore-mbart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://multidefmod/dore-mbart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/multidefmod/dore-mbart/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- aded86d7dc65cfc10cb10437eed20773e8e883886e62cbda0beed24329e6ee5a
- Size of remote file:
- 2.44 GB
- SHA256:
- 23f6e09542cfe26ae973990176a909d7cc6ab95ecdeda63e3ef0d7cf9afc56be
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