Instructions to use artificialguybr/textcaps-teste2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/textcaps-teste2 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="artificialguybr/textcaps-teste2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("artificialguybr/textcaps-teste2") model = AutoModelForImageTextToText.from_pretrained("artificialguybr/textcaps-teste2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d6d145d10df5cab53449f86689ca709fa9ca452fb4fc4a4d17063470259439
- Size of remote file:
- 1.58 GB
- SHA256:
- bb3f55213b6a6e8d1e451705c911c6c2e8c2dcaa46027176dd20b57438eb8a2a
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