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 training_args.bin from laamaai/tiny-mbart: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/laamaai/tiny-mbart/resolve/main/training_args.bin
- Command line
-
hf download hf://laamaai/tiny-mbart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/laamaai/tiny-mbart/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 2413bbc11eb13f84fc20dd58ec784fe453f72207d46722ceb422beb218e5c1af
- Size of remote file:
- 3.58 kB
- SHA256:
- 8a9354bad34a7e6aaeb63f9d37e4b98c6c8a087359aee3a6dea4b36fd97e706d
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