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:
- 340f1057e526a94d359d475e13d52486990241daa3b225d04ff2b15a59449914
- Size of remote file:
- 3.18 kB
- SHA256:
- 780f8a2a242886033b412f13c3cf2b98d2d11ff96150eab7e9ee9d4d578f62c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.