hridyansh22/gemma-3-finetune
030
Uploaded finetuned model
Developed by: hridyansh22 License: apache-2.0 Finetuned from model: `unsloth/gemma-3-1b-it-unsloth-bnb-4bit`
This gemma3_text model was trained 2x faster using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face’s TRL library.
<div align="left"> <img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.svg" alt="Hugging Face logo" height="24"/> <strong>Model inference via Hugging Face Inference API is now enabled.</strong> </div>
Example Use:
import requests
API_URL = "https://api-inference.huggingface.co/models/hridyansh22/gemma-3-finetune"
headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}
def query(prompt):
payload = {
"inputs": "<start_of_turn>user\n" + prompt + "\n<end_of_turn>\n<start_of_turn>model\n",
"parameters": {
"do_sample": False,
"max_new_tokens": 256,
"temperature": 0.7
}
}
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
print(query("hello who are you?"))
