Text Classification
Transformers
Safetensors
Korean
English
mllama
image-text-to-text
vision-language
korean
image-to-text
multilingual
fashion
e-commerce
text-generation-inference
unsloth
4-bit precision
bitsandbytes
Instructions to use hateslopacademy/otpensource-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hateslopacademy/otpensource-vision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hateslopacademy/otpensource-vision")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hateslopacademy/otpensource-vision") model = AutoModelForMultimodalLM.from_pretrained("hateslopacademy/otpensource-vision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Ctrl+K