Instructions to use p1atdev/Qwen3-VL-2B-Instruct-Text-Only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/Qwen3-VL-2B-Instruct-Text-Only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="p1atdev/Qwen3-VL-2B-Instruct-Text-Only")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("p1atdev/Qwen3-VL-2B-Instruct-Text-Only") model = AutoModelForMultimodalLM.from_pretrained("p1atdev/Qwen3-VL-2B-Instruct-Text-Only") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d426d4b39861a8aaaddd667bb503b035847f0954002d24de6881b68582fd387
- Size of remote file:
- 3.44 GB
- SHA256:
- c346702ba2ebc657cfd45bac24330c6b99683c647ffc84027e5ee0776d2afa1a
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