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 training_args.bin from joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joshanashakya/old_mini_codebert_sourcecode_nmt_pn2ja_200E_5e-05LR/resolve/refs%2Fpr%2F1/training_args.bin
3.18 kB
- Xet hash:
- 8c3f7e92ac864678b1ce8929c3feb57ec4f12fa166472755d5e3b9a67c220406
- Size of remote file:
- 3.18 kB
- SHA256:
- c64f494f0205c6dbb7bec42580e671d8ff7d5329e75f908d810eaecac6af30ef
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