Instructions to use joshanashakya/mini_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/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a2466483ca72b102a7d58b05cce7c57f753c96ea43c954976cf7f045871e155
- Size of remote file:
- 274 MB
- SHA256:
- c03abe83667f8f6d960ad9a06abe72a4cad5bc4a28dcbeeb593a10e8b8a9cc39
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