Instructions to use anyforge/anyparse-models-hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyforge/anyparse-models-hub 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="anyforge/anyparse-models-hub")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anyforge/anyparse-models-hub", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 657685133e99dec61f97d4a820b399a1d8d43f64bddeac86284bd8194ff33a32
- Size of remote file:
- 1.61 MB
- SHA256:
- 34ef7db83df785924fb83d7b887b6e822a031c56e15cff40aaf9b982988180df
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.