Instructions to use joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/500_mini_codebert_sourcecode_nmt_pn2ja_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7067fe7e807f36d67f85232542b9ede247fe1f7fdbe2127f4faa41c95969715
- Size of remote file:
- 3.18 kB
- SHA256:
- b88b7a1eae369d2d0a294e62ee50926f3c2ad9f4208de07200d029d43444c0cf
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