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:
- 4a33dc7b1049f963599e557baed8976eda10d3ebb9e8683b952dcd4d41edf2db
- Size of remote file:
- 615 MB
- SHA256:
- 27e187c2b43b7612e57d97dc06b33e3b2f87abeeb1e40e833e7ee1818feda02e
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