TinyLlama
"""Example of using the TinyLLaMA model via Hugging Face Transformers in Python.
This model is a small version of Meta's LLaMA, optimized for running efficiently
on CPUs or smaller GPUs.
"""
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
print("Processing ...")
model_name = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
tokenizer = AutoTokenizer.from_pretrained(model_name, use_safetensors=True)
model = AutoModelForCausalLM.from_pretrained(model_name, use_safetensors=True)
chat = [
{"role": "user", "content": "What is flask (python)?"}
]
inputs = tokenizer.apply_chat_template(chat, return_tensors="pt")
input_ids = inputs if isinstance(inputs, torch.Tensor) else torch.tensor(inputs)
with torch.no_grad():
outputs = model.generate(
input_ids=input_ids,
max_new_tokens=30,
temperature=0.7,
top_p=0.9,
do_sample=True
)
response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
print(chat[0]['content'])
print(response)
"""
Processing ...
What is flask (python)?
<|assistant|>
Flask is a lightweight web application framework for Python that provides
a simple and flexible way to develop and deploy web.
"""
Last update: 3 days ago