Instructions to use seoyoung/BART_BaseModel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seoyoung/BART_BaseModel2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seoyoung/BART_BaseModel2") model = AutoModelForSeq2SeqLM.from_pretrained("seoyoung/BART_BaseModel2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from seoyoung/BART_BaseModel2: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/seoyoung/BART_BaseModel2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://seoyoung/BART_BaseModel2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/seoyoung/BART_BaseModel2/resolve/refs%2Fpr%2F1/pytorch_model.bin
187 MB
- Xet hash:
- 45d6dbc852b967aaa0d738208ece5a75fb9fee803ec1648568be9efe7e48ef10
- Size of remote file:
- 187 MB
- SHA256:
- 48f0916c354699bf88c0f971554ebe177e513bb4cff6fbc746284878018a89c5
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