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
File size: 135 Bytes
b915c9b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1a769f4aa652ade710ac0a8414bd5a9fe42786c52e2644cacd36bc85f1d1139e
size 3428804400
|