Instructions to use dhansmair/flamingo-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhansmair/flamingo-tiny 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="dhansmair/flamingo-tiny", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dhansmair/flamingo-tiny", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0600419292e9da5770df50a1edcbad09f58d23b7c4557b4efca0ab5ec6ccd610
- Size of remote file:
- 1.07 GB
- SHA256:
- 78dee982538a42a87b4f4466503d8ff68c22936dfe9438976155ceb0f9dbcb00
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