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
File size: 475 Bytes
f722be9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"base_model": "google/functiongemma-270m-it",
"domains": [
"ambiguous",
"api_generation",
"business",
"coding",
"creative_content",
"data_analysis",
"education",
"general_knowledge",
"geography",
"history",
"law",
"literature",
"mathematics",
"medicine",
"science",
"sensitive",
"technology"
],
"training_time_min": 13.2936068,
"memory_optimized": true,
"batch_size": 4,
"max_length": 1024
} |