Instructions to use joshanashakya/500_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/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a155cd14f28ad7671482b640a38ac0d5155c824d5ebd8d5ca4d736029eb9ed48
- Size of remote file:
- 274 MB
- SHA256:
- cdd9f5e4580650654550e698dbc99683af452ebcf58e8f270f750b496bf543b4
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