Instructions to use joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_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_pn2ja_200E_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_pn2ja_200E_5e-05LR") model = AutoModelForSeq2SeqLM.from_pretrained("joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR: direct link, hf CLI and curl.
- Browser
- Download file 274 MB
-
https://huggingface.co/joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_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_pn2ja_200E_5e-05LR/resolve/refs%2Fpr%2F1/pytorch_model.bin
274 MB
- Xet hash:
- 5f3474733be2ebcc8c3c279a0c554f823aa1494660676be40eb9c6ac19d553be
- Size of remote file:
- 274 MB
- SHA256:
- 89123293bc5147319b7a3e5544d67ca626f9e60ac097c95cc3b9e382539a262a
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