Instructions to use Pipper/SolCoderFuncs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pipper/SolCoderFuncs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pipper/SolCoderFuncs") model = AutoModelForSeq2SeqLM.from_pretrained("Pipper/SolCoderFuncs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Pipper/SolCoderFuncs: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Pipper/SolCoderFuncs/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Pipper/SolCoderFuncs@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Pipper/SolCoderFuncs/resolve/refs%2Fpr%2F1/training_args.bin
4.66 kB
- Xet hash:
- 34cf6479e6d82f392e39bc01a12b2ab24f7d1972dc038145b5c5d0e129da6442
- Size of remote file:
- 4.66 kB
- SHA256:
- e591cec8f9932b2cd7910607889a693d0b780d510d609149bde117f46261ab07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.