Image Classification
Transformers
English
qwen2_vl
image-text-to-text
text-generation-inference
unsloth
Instructions to use mrbeniwal/TrueSkin-VL-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrbeniwal/TrueSkin-VL-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mrbeniwal/TrueSkin-VL-2B") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mrbeniwal/TrueSkin-VL-2B") model = AutoModelForMultimodalLM.from_pretrained("mrbeniwal/TrueSkin-VL-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from mrbeniwal/TrueSkin-VL-2B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mrbeniwal/TrueSkin-VL-2B/resolve/main/tokenizer.json
- Command line
-
hf download hf://mrbeniwal/TrueSkin-VL-2B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mrbeniwal/TrueSkin-VL-2B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9634a13dce23097940ed18824bf83f15fb90710cb158f7ae03a04ac6043c6ba6
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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