Image-to-Text
Transformers
Safetensors
Arabic
lfm2_vl
image-text-to-text
arabic
vlm
image-captioning
siglip2
lfm2-vl
emhotob
Instructions to use oddadmix/Nawah-VL-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/Nawah-VL-50M with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" 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("image-to-text", model="oddadmix/Nawah-VL-50M")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oddadmix/Nawah-VL-50M") model = AutoModelForMultimodalLM.from_pretrained("oddadmix/Nawah-VL-50M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f96b2337aa286d84d8722a4b8f75bbc196da9625433c7b80e386b6961df1a7cf
- Size of remote file:
- 290 MB
- SHA256:
- b0a99bb428b17e894eedb5e855bb3ec14a564c1697f5bfb47cea880ba3f007c6
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