Instructions to use peterandrew987/modified-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterandrew987/modified-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterandrew987/modified-qa") model = AutoModelForSeq2SeqLM.from_pretrained("peterandrew987/modified-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from peterandrew987/modified-qa: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/peterandrew987/modified-qa/resolve/main/training_args.bin
- Command line
-
hf download hf://peterandrew987/modified-qa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/peterandrew987/modified-qa/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 1d83ff211bdefdcb30e21ae05b63054883fa3d48203cb7532aa4a5ea8eca10b2
- Size of remote file:
- 4.03 kB
- SHA256:
- cc3d0f1d5e5c4b388a5e0104ce9832fc00864d486ac5c4febc43ef671e4b1082
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