Instructions to use joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_50E_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_50E_5e-05LR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b701f17a3de8f378cd8772af2bff420a8d9f2279180a156fc70faee0ad8003a4
- Size of remote file:
- 274 MB
- SHA256:
- c21fadf19879f1ae813b36baad51c879c9a2bdb6a981b24d5d723f8a5852a209
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.