Instructions to use joshanashakya/codebert_sourcecode_nmt_ja2pn_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_ja2pn_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ee6affb10cae7eacf5d8f21581fd7e4350cf336e8d93dac24052e28bbaf6001
- Size of remote file:
- 615 MB
- SHA256:
- b126a18ad93abfbea903c37e8ebbd2378869439f79e7dd26561ade48dfd7c0b1
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