Feature Extraction
Transformers
Safetensors
motoko-haptic-encoder
robotics
haptics
embeddings
multimodal
encoder
Instructions to use monodox/motoko-embedding-1-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monodox/motoko-embedding-1-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monodox/motoko-embedding-1-1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("monodox/motoko-embedding-1-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor/preprocessor_config.json from monodox/motoko-embedding-1-1b: direct link, hf CLI and curl.
- Browser
- Download file 562 Bytes
-
https://huggingface.co/monodox/motoko-embedding-1-1b/resolve/main/preprocessor/preprocessor_config.json
- Command line
-
hf download hf://monodox/motoko-embedding-1-1b/preprocessor/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/monodox/motoko-embedding-1-1b/resolve/main/preprocessor/preprocessor_config.json
562 Bytes
| { | |
| "feature_extractor_type": "HapticFeatureExtractor", | |
| "sampling_rate_hz": 1000, | |
| "window_size": 1024, | |
| "hop_length": 256, | |
| "padding_value": 0.0, | |
| "padding_side": "right", | |
| "return_attention_mask": true, | |
| "normalize": true, | |
| "normalization": { | |
| "mean": [ | |
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| ], | |
| "std": [ | |
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| } | |