Instructions to use laamaai/tiny-mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laamaai/tiny-mbart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("laamaai/tiny-mbart") model = AutoModelForSeq2SeqLM.from_pretrained("laamaai/tiny-mbart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from laamaai/tiny-mbart: direct link, hf CLI and curl.
- Browser
- Download file 3.05 MB
-
https://huggingface.co/laamaai/tiny-mbart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://laamaai/tiny-mbart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/laamaai/tiny-mbart/resolve/main/pytorch_model.bin
3.05 MB
- Xet hash:
- 524c61ca6d924fdfcda74749dbadf3dd7b067dca29d7d6c3b8ebfb0a91eb51a5
- Size of remote file:
- 3.05 MB
- SHA256:
- 3afb2972e635304695bc8db106b226001cc5c656d4458133088aaf31664ad3ad
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