Instructions to use bilbo991/clip-mixer-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilbo991/clip-mixer-300k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bilbo991/clip-mixer-300k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bilbo991/clip-mixer-300k") model = AutoModel.from_pretrained("bilbo991/clip-mixer-300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Aug16_14-43-59_cvrl-flynn-ws2/events.out.tfevents.1692211514.cvrl-flynn-ws2.10527.0
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