Text Classification
Transformers
Safetensors
gemma3_text
gemma3
intent-classification
multilingual
text-embeddings-inference
Instructions to use blue-machines/Multilingual_Intent_Classifier_checkpoint_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blue-machines/Multilingual_Intent_Classifier_checkpoint_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="blue-machines/Multilingual_Intent_Classifier_checkpoint_v1")# Load model directly from transformers import AutoTokenizer, Gemma3Intent8LStudent tokenizer = AutoTokenizer.from_pretrained("blue-machines/Multilingual_Intent_Classifier_checkpoint_v1") model = Gemma3Intent8LStudent.from_pretrained("blue-machines/Multilingual_Intent_Classifier_checkpoint_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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