Instructions to use barsbold/BLIP-diplom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barsbold/BLIP-diplom 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="barsbold/BLIP-diplom")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("barsbold/BLIP-diplom") model = AutoModelForMultimodalLM.from_pretrained("barsbold/BLIP-diplom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9c87b3e95b09aa88213cc41a5f5b27593169a725f9677bf84e98639982cc98
- Size of remote file:
- 990 MB
- SHA256:
- 16ff98b582b611216758a3271d9c8418f1835e087ce9efaa8cd515411d3bb199
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