Image-to-Text
Transformers
PyTorch
English
agriculture
crop-disease-detection
vision-language-model
multimodal
blip2
plant-pathology
computer-vision
agritech
lora
Instructions to use AnhadMahajan/agrivision-blip2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnhadMahajan/agrivision-blip2-model 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="AnhadMahajan/agrivision-blip2-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AnhadMahajan/agrivision-blip2-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78db7d41f73a2d0f6d211c3d62819464100bf590e5264ac69d8bf372d31663b1
- Size of remote file:
- 323 Bytes
- SHA256:
- dc8d90eb058fda92de863cf06fda63c4c12c38b7c9ee4e00ec442723bc1f22a1
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