Instructions to use jeff-RQ/new-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeff-RQ/new-test-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="jeff-RQ/new-test-model")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("jeff-RQ/new-test-model") model = AutoModelForVisualQuestionAnswering.from_pretrained("jeff-RQ/new-test-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bec200dbc28144518c954c7f5aee5d2a13aad8a7f7e958ece1c0aa9ec2c66a31
- Size of remote file:
- 10 GB
- SHA256:
- 83f4604e9f2c81dace48cbbb245cbe9acadddce7471c17eedc10cd675bf9af62
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