Feature Extraction
Transformers
Safetensors
PyTorch
Chinese
English
dreammachine
recommendation
retrieval
dual-tower
transformer
multi-hash-embedding
Dream-Machine-08-09
custom_code
Eval Results (legacy)
Instructions to use dream-machine-ai/Dream-Machine-08-09 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dream-machine-ai/Dream-Machine-08-09 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 285 Bytes
d7f821e | 1 2 3 4 5 6 7 8 9 10 | {
"feature_extractor_type": "DreamMachineFeatureExtractor",
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_dreammachine.DreamMachineFeatureExtractor"
},
"hash_bucket_size": 50000,
"num_hashes": 3,
"processor_class": "DreamMachineFeatureExtractor"
}
|