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 tokenizer.json from laamaai/tiny-mbart: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/laamaai/tiny-mbart/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://laamaai/tiny-mbart@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/laamaai/tiny-mbart/resolve/refs%2Fpr%2F1/tokenizer.json
17.1 MB
- Xet hash:
- 79bfda0a2c423069458b52a0ed852bff8a5d0ab41dc0496179fa2c8d8f5897f8
- Size of remote file:
- 17.1 MB
- SHA256:
- 596c5a4c6d3f1a30908406c2b02396ed0a927c18342237b32ac8bd2fff7322a3
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