Instructions to use eunyounglee/mBART_tokenizer_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_tokenizer_custom with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_tokenizer_custom") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_tokenizer_custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eunyounglee/mBART_tokenizer_custom: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/eunyounglee/mBART_tokenizer_custom/resolve/main/training_args.bin
- Command line
-
hf download hf://eunyounglee/mBART_tokenizer_custom/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eunyounglee/mBART_tokenizer_custom/resolve/main/training_args.bin
3.5 kB
- Xet hash:
- 684cc0578ae4ba7a1065a8ce92481580ee0f641f5953120474e08ad94a6ffd4d
- Size of remote file:
- 3.5 kB
- SHA256:
- 4895bd811d9faa6e6c264dd586f4d5ac787909e399635406f1fc990e6df837f1
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