Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use anithra/java-to-python-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anithra/java-to-python-assistant with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anithra/java-to-python-assistant") model = AutoModelForSeq2SeqLM.from_pretrained("anithra/java-to-python-assistant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09d12fac9473241923edc41df0ac488f77e1a633cc074e641d1c44df39bfacd7
- Size of remote file:
- 5.91 kB
- SHA256:
- 5c4034de545ab6c43bd750a0fef51550ced0151e4490ee1cf6f8cf46a71c47d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.