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
Este modelo é muito bom
#9
by areumtecnologia - opened
Estou usando este modelo em meus projetos e pra mim superou as necessidades, mesmo com pequenos recursos de computacao disponiveis.
Melhor ate que modelos como salesforce.
Um dos melhores multimodais que já experimentei também.
Nous vous remercions d'avoir utilisé nos modèles et de les avoir si bien accueillis. Si vous avez des questions, n'hésitez pas à nous contacter !
(translate by deepl)