Instructions to use joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_2e-05LR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_2e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_2e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_2e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca11b47639f4de838ff496ac80ec72eb6e1d7cfb93533d578ff7ba00426d41f
- Size of remote file:
- 615 MB
- SHA256:
- b30fd671f266571cd1251cc3231a86d1558e64e8c78bb489eaf7f9d3941eaaf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.