Image-to-Text
Transformers
Safetensors
PyTorch
English
agriculture
crop-disease-detection
vision-language-model
multimodal
blip2
plant-pathology
computer-vision
agritech
lora
Instructions to use AnhadMahajan/AgriVision-BLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnhadMahajan/AgriVision-BLIP2 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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AnhadMahajan/AgriVision-BLIP2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "</s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "processor_class": "Blip2Processor", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "</s>" | |
| } | |