Instructions to use joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_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_ja2pn_100E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_100E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_100E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb7dafa994212ef62cd252f0d872dde7804bfb9f067dedf6d12c68ffdd431f09
- Size of remote file:
- 274 MB
- SHA256:
- db99d694376153611efe79ea5e2dadc064fc90de9b05fb3ee5ab3b6df5c53bbb
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