Instructions to use joshanashakya/old_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/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR: direct link, hf CLI and curl.
- Browser
- Download file 274 MB
-
https://huggingface.co/joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR@refs/pr/1/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/joshanashakya/old_mini_codebert_sourcecode_nmt_ja2pn_50E_5e-05LR/resolve/refs%2Fpr%2F1/pytorch_model.bin
274 MB
- Xet hash:
- e4cdadc3ca21a105b1d48e849f459560a2686502895511f523114ce2ec222acf
- Size of remote file:
- 274 MB
- SHA256:
- 16ed1414fede5f290973b1eed2ccb37e4f05eccdbfd89d0b698b97783f13d2f0
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