Instructions to use antoineds/swipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoineds/swipe with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("antoineds/swipe") model = AutoModelForSeq2SeqLM.from_pretrained("antoineds/swipe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from antoineds/swipe: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/antoineds/swipe/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://antoineds/swipe/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antoineds/swipe/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 01451aa4f5f272b081a6bfbf742535a469c6a5e881ea00f35582fa4d87550eee
- Size of remote file:
- 1.63 GB
- SHA256:
- 5580ef84aaff900256004215dce953023de9b78bf7ed577b3415e978a28839c3
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