Instructions to use joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_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_ja2pn_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f69abc19a62cfa1641464c5b58457d215aefd6f34d4c6988437f25f8e92dacba
- Size of remote file:
- 3.18 kB
- SHA256:
- 10324ff4b3e02c0e6b19553f0966963a9f99face11e9ec33f1a4509727c0b823
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