Instructions to use lafarizo/code_translation_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lafarizo/code_translation_v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lafarizo/code_translation_v3") model = AutoModelForSeq2SeqLM.from_pretrained("lafarizo/code_translation_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a78a8e13b5cc28d45e2445ca5428b1afc7af9a5d82711f8b645d6988b0a1744
- Size of remote file:
- 5.37 kB
- SHA256:
- 774e83f11d569bea5ecea6be94f1827afb88ae105e498a911812da04b078959c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.