Instructions to use an-atlas/simplifybest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use an-atlas/simplifybest with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("an-atlas/simplifybest") model = AutoModelForSeq2SeqLM.from_pretrained("an-atlas/simplifybest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from an-atlas/simplifybest: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/an-atlas/simplifybest/resolve/main/training_args.bin
- Command line
-
hf download hf://an-atlas/simplifybest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/an-atlas/simplifybest/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 59522499ed951c18d87cd1c1a03d3234866a28b9426bad098aa13b778c1d336f
- Size of remote file:
- 5.18 kB
- SHA256:
- a3f5a05d9058446c66c49b5867df13d5015aea130558710b9e1d141e3974f27e
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