Instructions to use madatnlp/mbart2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madatnlp/mbart2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("madatnlp/mbart2") model = AutoModelForSeq2SeqLM.from_pretrained("madatnlp/mbart2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from madatnlp/mbart2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/madatnlp/mbart2/resolve/main/tokenizer.json
- Command line
-
hf download hf://madatnlp/mbart2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/madatnlp/mbart2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- c5f3dcf9376a648767402d5d3155d671f6c0a83fc3a13275cf541c6f5b781c10
- Size of remote file:
- 17.1 MB
- SHA256:
- 83d0909b44d24d36642b4159b9773fec9ef3519d98162afc082a122d6f1e2a1e
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