Instructions to use amyyang/80K-BART-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amyyang/80K-BART-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amyyang/80K-BART-v2") model = AutoModelForSeq2SeqLM.from_pretrained("amyyang/80K-BART-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amyyang/80K-BART-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/amyyang/80K-BART-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://amyyang/80K-BART-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amyyang/80K-BART-v2/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 5a848c0e887f8059661402a3e607743e07be8d990af3c225ee46a4a4cfe621cc
- Size of remote file:
- 1.63 GB
- SHA256:
- c75643fd636ae2e920055fae120da1cc93f4138c21727e1682f89c07d5da2f27
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