Visual Question Answering
Transformers
Safetensors
English
Chinese
minicpmv
feature-extraction
custom_code
Eval Results
Instructions to use openbmb/MiniCPM-V-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-V-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="openbmb/MiniCPM-V-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-V-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update assets
Browse files- .gitattributes +1 -0
- assets/minicpmv-2-benchmark.png +0 -0
- assets/minicpmv-2-peformance.png +0 -0
.gitattributes
CHANGED
|
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
*.gif filter=lfs diff=lfs merge=lfs -text
|
| 37 |
assets/minicpmv2-cases_2.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
*.gif filter=lfs diff=lfs merge=lfs -text
|
| 37 |
assets/minicpmv2-cases_2.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
*.png filter=lfs diff=lfs merge=lfs -text
|
assets/minicpmv-2-benchmark.png
CHANGED
|
|
Git LFS Details
|
assets/minicpmv-2-peformance.png
CHANGED
|
|
Git LFS Details
|