Instructions to use DeclanBracken/MiniCPM-Llama3-V-2.5-Transcriptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeclanBracken/MiniCPM-Llama3-V-2.5-Transcriptor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="DeclanBracken/MiniCPM-Llama3-V-2.5-Transcriptor", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeclanBracken/MiniCPM-Llama3-V-2.5-Transcriptor", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle