Transformers
Safetensors
English
t5
text2text-generation
code
code-generation
codet5
comment-generation
seq2seq
text-generation-inference
Instructions to use melfatihomran/codet5-small-code-comment-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melfatihomran/codet5-small-code-comment-gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("melfatihomran/codet5-small-code-comment-gen") model = AutoModelForSeq2SeqLM.from_pretrained("melfatihomran/codet5-small-code-comment-gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63e826a544a224930a39fed92514ecbd8a4f5d1a3200421f4dc695054394664c
- Size of remote file:
- 242 MB
- SHA256:
- 99f4a0326378c54e21ca66af689a112694b02311c29e3ae2def7692139c2fb48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.