Text Classification
Transformers
Safetensors
PEFT
English
domain-classification
function-calling
lora
gemma
functiongemma
Instructions to use ovinduG/functiongemma-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ovinduG/functiongemma-domain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ovinduG/functiongemma-domain-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ovinduG/functiongemma-domain-classifier", device_map="auto") - PEFT
How to use ovinduG/functiongemma-domain-classifier with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2215fcd67cb6d957b6e491d7476c58ce0fdde1e3fde5a8c80f095e0136c26bc8
- Size of remote file:
- 30.4 MB
- SHA256:
- bf610c132ca2e25ffb9f47f8450ed2336ed8f9d4ac5a1cdcceb1315cfdc76d49
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