Image Feature Extraction
Transformers
Safetensors
opensci
llama-factory
full
Generated from Trainer
custom_code
Instructions to use ontocord/1.7b-MixtureVitae-300BT-v1-decontaminated-16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ontocord/1.7b-MixtureVitae-300BT-v1-decontaminated-16k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="ontocord/1.7b-MixtureVitae-300BT-v1-decontaminated-16k", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ontocord/1.7b-MixtureVitae-300BT-v1-decontaminated-16k", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a297ce2b342d8f15ced2ff4adb8157b3d24a58972a6e0f106214e58c8c7d4e8
- Size of remote file:
- 3.43 GB
- SHA256:
- 1a769f4aa652ade710ac0a8414bd5a9fe42786c52e2644cacd36bc85f1d1139e
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