Instructions to use joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_5e-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_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d4ab3e06634d2c09eda297b521aac30708416049aae6a93f6e435215aacfe04
- Size of remote file:
- 3.18 kB
- SHA256:
- c1733f9fbefe9bc272b892b29354fa8fa8099e8e3d360efe6115d79ef5424d24
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