Transformers
Safetensors
English
t5
text2text-generation
#ai
#codefixing
#programming
#syntax
#gptmodel
#gpt
#free
#multilanguage
#latest
text-generation-inference
Instructions to use wizcodes12/snaxfix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wizcodes12/snaxfix-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wizcodes12/snaxfix-model") model = AutoModelForSeq2SeqLM.from_pretrained("wizcodes12/snaxfix-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wizcodes12/snaxfix-model: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/wizcodes12/snaxfix-model/resolve/main/training_args.bin
- Command line
-
hf download hf://wizcodes12/snaxfix-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wizcodes12/snaxfix-model/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 6a94454e3a9c6d43adffb9727c04680659ca3944b4b7d3fafd8ab8b020f33e18
- Size of remote file:
- 5.43 kB
- SHA256:
- 44a60414bc64f8402f03dba70aa29926563092f4a3fec7c2c83382cb01a6eb00
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