Instructions to use hieudinhpro/git-base-on-diffuision-dataset2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hieudinhpro/git-base-on-diffuision-dataset2 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="hieudinhpro/git-base-on-diffuision-dataset2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("hieudinhpro/git-base-on-diffuision-dataset2") model = AutoModelForImageTextToText.from_pretrained("hieudinhpro/git-base-on-diffuision-dataset2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ad8ed71ad213996f3f210ee7c456397ca1940104f5a8fb4bf51ba5d077b6324
- Size of remote file:
- 4.09 kB
- SHA256:
- ece4e5f55fcb51e15aeb489b024f4cc2c22aaa336ff10131f10c709b0c4a0618
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