Instructions to use joshanashakya/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/codebert_sourcecode_nmt_ja2pn_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43048f12ddf73cf0a3e28e1ef134654cb45eb3f2396343558726e483c1d0d1f2
- Size of remote file:
- 3.18 kB
- SHA256:
- ce4caf54150a48bd2a7ffea87920618f074c2553cadce670d470c43a27b3d004
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