Instructions to use joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74609679f558c1d253ed3b2f3dadc4b017b58fce276fd38e137a8d9d496a4f63
- Size of remote file:
- 274 MB
- SHA256:
- 2b7087e98f102d0102021bee2a2cbfbab8953d00da2ad49988d7f2b452b6210d
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