Instructions to use lilferrit/5-e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilferrit/5-e-5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lilferrit/5-e-5") model = AutoModelForSeq2SeqLM.from_pretrained("lilferrit/5-e-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lilferrit/5-e-5: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/lilferrit/5-e-5/resolve/main/training_args.bin
- Command line
-
hf download hf://lilferrit/5-e-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lilferrit/5-e-5/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- a78f0969056a42d88fb66498f6f3b4279fd49cee39382823aa86b7e438907b9a
- Size of remote file:
- 5.18 kB
- SHA256:
- f37b64731fed3eef8f75bfe7bc4b79637706707c6a0602be591a5ba26d69e1a9
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