Instructions to use an-atlas/simplify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use an-atlas/simplify with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("an-atlas/simplify") model = AutoModelForSeq2SeqLM.from_pretrained("an-atlas/simplify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from an-atlas/simplify: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/an-atlas/simplify/resolve/main/training_args.bin
- Command line
-
hf download hf://an-atlas/simplify/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/an-atlas/simplify/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 6bc17ffb2fff77cbf20b2a067f6c5917bbbbdc1d4be243ce5db223d8015c0f79
- Size of remote file:
- 5.18 kB
- SHA256:
- 89ea54e2bb950dbd0d8f0ffe8b154559a764e35b8a26afda13b1a9174f206b73
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