Instructions to use joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_1e-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_1e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_1e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_50E_1e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3372c93faa3c686afaa332890003d808f2ca2e4112edbc792a7697f74d7cf6e
- Size of remote file:
- 615 MB
- SHA256:
- 0937ffff4d94ef398c1bc489713bba6972010dc3c025d320712a35ae1074c4db
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