lingcco/FakeClue
Updated โข 391 โข 9
How to use soorism/Qwen3-VL-2B-instruct-SFT-FakeClues with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("visual-question-answering", model="soorism/Qwen3-VL-2B-instruct-SFT-FakeClues") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("soorism/Qwen3-VL-2B-instruct-SFT-FakeClues")
model = AutoModelForMultimodalLM.from_pretrained("soorism/Qwen3-VL-2B-instruct-SFT-FakeClues", device_map="auto")This is a "Qwen3-VL-2B-instruct" model finetuned on the training split of the FakeClue dataset to compare with FakeVLM. Here are the results on the test set:
Accuracy: 92.36%
| Class | Precision | Recall | F1-Score |
|---|---|---|---|
| Fake | 0.9225 | 0.9624 | 0.9421 |
| Real | 0.9259 | 0.8532 | 0.8881 |
Base model
Qwen/Qwen3-VL-2B-Instruct