Instructions to use joshanashakya/codebert_sourcecode_nmt_pn2ja_100E_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_100E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_100E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_100E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6233e8780bef819aa1134b06671cabfdc9bc58efc9ae46d7c3a9e9aa58cb1bf1
- Size of remote file:
- 615 MB
- SHA256:
- b3930629b72fb41f308e5323a428f68bd3f59498fbe65404803966a7edb97618
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