Instructions to use joshanashakya/codebert_sourcecode_nmt_ja2pn_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_ja2pn_50E_2e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42ae1df13abaa93d4c05de8854a464272a140b8f7368fcae19da19b94d51d016
- Size of remote file:
- 3.18 kB
- SHA256:
- 6b054d73dbe3211aebaa187d6cb9401faab709d107732cf8477f7dd8e8efc380
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