Instructions to use joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B: direct link, hf CLI and curl.
- Browser
- Download file 615 MB
-
https://huggingface.co/joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joshanashakya/codebert_sourcecode_nmt_ja2pn_50E_2e-05LR_16B/resolve/refs%2Fpr%2F1/pytorch_model.bin
615 MB
- Xet hash:
- 415254a65be58032fb9160ae7fdec849cd7eba01304e2b279af17c04db92e5c1
- Size of remote file:
- 615 MB
- SHA256:
- 6c725b0b37d0738bbdadd1e285d53ef63138ed3173329843db4a6177804658f6
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