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:
- ffb7742ae44dad850d3c469daec95403ca18bfe73787e89aae14340509557b70
- Size of remote file:
- 615 MB
- SHA256:
- 73f55ff92349d9a68b07f0691bba3064cf111fa386fc0c6322c2d0c16c2353a6
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