Instructions to use ashleychen/bart-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashleychen/bart-finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ashleychen/bart-finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("ashleychen/bart-finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ashleychen/bart-finetuning: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/ashleychen/bart-finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ashleychen/bart-finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ashleychen/bart-finetuning/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 2f1cdfeef562aa234f053710dccfa43e283fbb9dce00fbe8ea79a9106f316024
- Size of remote file:
- 1.63 GB
- SHA256:
- ee6cd75dd5b029f23bd3f8a5650e4284ce56eaae1e679227e4dad575ad1fd354
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