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:
- 42dfce0e62d2e958c84fb1ba586ecc7dd8bf31547aa677999fd932a3e8dc331a
- Size of remote file:
- 4.96 GB
- SHA256:
- c25db15fc13e7587d1059922a565e01e824185b6c8050586745895eedad3c573
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