Instructions to use openbmb/VisCPM-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/VisCPM-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openbmb/VisCPM-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/VisCPM-Chat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| import warnings | |
| from transformers.utils import logging | |
| from processing_viscpmchatbee import VisCpmChatBeeImageProcessor | |
| logger = logging.get_logger(__name__) | |
| class VisCpmChatBeeFeatureExtractor(VisCpmChatBeeImageProcessor): | |
| def __init__(self, *args, **kwargs) -> None: | |
| warnings.warn( | |
| "The class VisCpmBeeFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please" | |
| " use CLIPImageProcessor instead.", | |
| FutureWarning, | |
| ) | |
| super().__init__(*args, **kwargs) |