Text Classification
Transformers
Safetensors
English
gemma3_text
gemma3
tunix
candidate-scoring
gemmajev
text-embeddings-inference
Instructions to use bzantium/gemma-3-270m-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bzantium/gemma-3-270m-jev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bzantium/gemma-3-270m-jev")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bzantium/gemma-3-270m-jev") model = AutoModelForSequenceClassification.from_pretrained("bzantium/gemma-3-270m-jev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K