Hello everybody, How can I download the models locally, and how inference them smoothly without having hundered of errors.
and it’s too hard to use transfomer lib to and forcing him to load the local model. can anyone help?
Hi! Easiest way is two steps.
1. Download the model once
pip install -U huggingface_hub
hf download Qwen/Qwen2.5-0.5B-Instruct --local-dir ./qwen
2. Load it from that folder
pip install torch transformers accelerate
python
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="./qwen", # folder that contains config.json
device_map="auto",
local_files_only=True, # never hits the internet
)
messages = [{"role": "user", "content": "Hello!"}]
out = pipe(messages, max_new_tokens=100)
print(out[0]["generated_text"][-1]["content"])
Most “hundreds of errors” come from a wrong path (it must be the folder with config.json, not a single file) or from missing torch/ accelerate.
If you just want to chat in the terminal with no code, this also works (see the “Chat basics” docs):
transformers chat Qwen/Qwen2.5-0.5B-Instruct
If you still get an error, paste the last lines of the traceback and the model name, and we can look at it.
One more beginner friendly option if the transformers route gives you trouble: Ollama gives you a pure CLI chat with a single install and a single command to pull and run a model, no Python environment needed. It is worth trying when you just want to test a model quickly. If you stick with transformers, make sure the local folder really contains config.json and the model weights, since a wrong path is the most common error.