Transformers
PyTorch
TensorBoard
English
encoder-decoder
text2text-generation
Generated from Trainer
seq2seq
Instructions to use abhi11nav/codebert-gpt2-commitgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/codebert-gpt2-commitgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/codebert-gpt2-commitgen") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/codebert-gpt2-commitgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from abhi11nav/codebert-gpt2-commitgen: direct link, hf CLI and curl.
- Browser
- Download file 1.14 GB
-
https://huggingface.co/abhi11nav/codebert-gpt2-commitgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://abhi11nav/codebert-gpt2-commitgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/abhi11nav/codebert-gpt2-commitgen/resolve/main/pytorch_model.bin
1.14 GB
- Xet hash:
- c6e014fb79c27bf173a3a521394e2c98ddbe6f78c78cc882ce0bf64d76ea74d8
- Size of remote file:
- 1.14 GB
- SHA256:
- 2d1f8ea99e41ac45991a562ffe66f8da5691c12cad04a99544a6e3dd304acf53
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