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:
- 03604fd6609fe1446f599b8f5020eb231014bfab9073eace6f17cc19fad4cadb
- Size of remote file:
- 3.18 kB
- SHA256:
- 6318de88724473b9d9919211757d7807f5a41559cb42ac65ab41076bd3c4e8bc
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