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:
- 350256f075a527fc43db3ba1ab82b53bcaaad7efcc8568aff16ee61095e0825a
- Size of remote file:
- 3.67 GB
- SHA256:
- b391a88a7c8115c2688cff9a0f75e6ca752093c5b1ff4b01a55f04fc0b6d5a4e
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