Instructions to use joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_2e-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_pn2ja_50E_2e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_2e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_50E_2e-05LR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fa7f536d0970e4854ead1760d41a7b1d147f4dfde1b81f078bf8c8f0773c5ae
- Size of remote file:
- 3.18 kB
- SHA256:
- 3c0a046e454a4f39a2cda1b673d6d6459d11dce1c51e0b106386f9c8468a3870
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