Text Classification
Transformers
PyTorch
Safetensors
English
gemma2
text-generation
text-generation-inference
unsloth
trl
Instructions to use EpistemeAI/EpistemeAI-codegemma-2-9b-ultra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EpistemeAI/EpistemeAI-codegemma-2-9b-ultra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EpistemeAI/EpistemeAI-codegemma-2-9b-ultra")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/EpistemeAI-codegemma-2-9b-ultra") model = AutoModelForCausalLM.from_pretrained("EpistemeAI/EpistemeAI-codegemma-2-9b-ultra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- b8faa3bc3643dc13c5e4ad543f160c0127b406e8aee124e3e872fcaecea8acd3
- Size of remote file:
- 17.5 MB
- SHA256:
- 3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.