Instructions to use joshanashakya/mini_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/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_pn2ja_100E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74f3159c78da7f2d70473c4b79e8e038b3a230e603477bdc312265667909985e
- Size of remote file:
- 3.31 kB
- SHA256:
- 5e45369ca167bf9c9244592782ff001df47d2147dd30f96a137302d67b00cc52
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