Instructions to use waleko/codereviewer-finetuned-msg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waleko/codereviewer-finetuned-msg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("waleko/codereviewer-finetuned-msg") model = AutoModelForSeq2SeqLM.from_pretrained("waleko/codereviewer-finetuned-msg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 201678684644a8e3567293549cd66ca4738376bdf50195a6d7b9c368200bc999
- Size of remote file:
- 892 MB
- SHA256:
- edccaec26eb22f8e0c708d245f8ad528102aa17ca02b546a530a4775adf3fd74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.