Instructions to use joshanashakya/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/codebert_sourcecode_nmt_pn2ja_100E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_100E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_pn2ja_100E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 172e44b123b6fea39a2b987e306065c474b80ca787d3263b9344a9b44d0dfefb
- Size of remote file:
- 3.31 kB
- SHA256:
- 5b39606a1d38f34af21b89f8a32eac0f4d3f84189c5543656617477eaed32565
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