Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rakhman-llm/code-synthesis-java-snippet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rakhman-llm/code-synthesis-java-snippet with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rakhman-llm/code-synthesis-java-snippet") model = AutoModelForSeq2SeqLM.from_pretrained("rakhman-llm/code-synthesis-java-snippet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f796cafe05e78e5a1a5cd484dc3510696ae3fde58cd659972e3e970cc76c2d02
- Size of remote file:
- 1.78 GB
- SHA256:
- d9bff324c51beebab7ae13698893c506abe18328d4d94797a89064fe01f5e088
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.