my-new-gemma-3n-model
Fine-tuned google/gemma-3n-E2B-it model from Gemma Garage
This model was fine-tuned using Gemma Garage, a platform for fine-tuning Gemma models with LoRA.
Model Details
- Base Model: google/gemma-3n-E2B-it
- Fine-tuning Method: LoRA (Low-Rank Adaptation)
- Training Platform: Gemma Garage
- Fine-tuned on: 2025-08-05
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("LucasFMartins/my-new-gemma-3n-model")
model = AutoModelForCausalLM.from_pretrained("LucasFMartins/my-new-gemma-3n-model")
# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
Training Details
This model was fine-tuned using the Gemma Garage platform with the following configuration:
- Request ID: b684d477-3ccc-4335-8041-f591fa86c699
- Training completed on: 2025-08-05 02:57:38 UTC
For more information about Gemma Garage, visit our GitHub repository.
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