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:
- 51f625218d9d770a7a2d413063c1978980e0d3a42525cb3f596553c6a8f33ad6
- Size of remote file:
- 3.31 kB
- SHA256:
- 0dbf8247695ccc7774d826e902beb0531737c23a0d073f01a731e8e833419ea6
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