Help to load q4 model
#6
by
yoeldcd - opened
What parameters i need sent to pipeline() function on transformersJS to load /smolllm-360M-instruct quantized file ../onnx/model_q4.onnx of this repository
To use the onnx q4 version you can do it like this
from transformers import AutoTokenizer
from optimum.onnxruntime import ORTModelForCausalLM
import torch
import os
# Specify the local path to your cloned repository
# git clone https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct
repo_path = "path/to/local/repo"
# cp repo_path/onnx/model_q4.onnx repo_path/model_q4.onnx -> moove the onnx model you want to the main folder
# Load the tokenizer and model from local paths
tokenizer = AutoTokenizer.from_pretrained(repo_path)
model = ORTModelForCausalLM.from_pretrained(repo_path)
# Prepare the input using the chat template
messages = [
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "What is the capital of France ?"}
]
# Apply the chat template
input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
# Generate the response
inputs = tokenizer(input_text, return_tensors="pt")
gen_tokens = model.generate(**inputs, do_sample=True, temperature=0.2, top_p=0.9, min_length=20, max_length=100)
# Decode and print the output
output = tokenizer.batch_decode(gen_tokens, skip_special_tokens=True)
print(output[0])