Instructions to use DeclanBracken/MiniCPM-Llama3-V-2_5-Transcriptor-V2 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-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeclanBracken/MiniCPM-Llama3-V-2_5-Transcriptor-V2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeclanBracken/MiniCPM-Llama3-V-2_5-Transcriptor-V2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model-00001-of-00004.safetensors with huggingface_hub
Browse files
model-00001-of-00004.safetensors
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