Text Classification
Transformers
Safetensors
English
gemma3_text
text-generation
text
generation
classfication
text-embeddings-inference
Instructions to use bdstar/FFT-google-gemma-3-1b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdstar/FFT-google-gemma-3-1b-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bdstar/FFT-google-gemma-3-1b-it")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bdstar/FFT-google-gemma-3-1b-it") model = AutoModelForCausalLM.from_pretrained("bdstar/FFT-google-gemma-3-1b-it") - Notebooks
- Google Colab
- Kaggle
Ctrl+K