Instructions to use eunyounglee/mBART_data_221115 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_data_221115 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_data_221115") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_data_221115", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from eunyounglee/mBART_data_221115: direct link, hf CLI and curl.
- Browser
- Download file 4.89 GB
-
https://huggingface.co/eunyounglee/mBART_data_221115/resolve/main/optimizer.pt
- Command line
-
hf download hf://eunyounglee/mBART_data_221115/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eunyounglee/mBART_data_221115/resolve/main/optimizer.pt
4.89 GB
- Xet hash:
- c77299cb0787b924c86d9b8f13d43871a422a3a2152fda5e384c9beb93f27475
- Size of remote file:
- 4.89 GB
- SHA256:
- 21a0a49860923c5dcc9b603aa1cb1e44043d47cf1ad045180afb2636923d2544
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