Feature Extraction
Transformers
Safetensors
English
anymo
imu
wearable-sensing
human-activity-recognition
multimodal
motion-language
retrieval
captioning
custom_code
Instructions to use CRUISEResearchGroup/AnyMo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CRUISEResearchGroup/AnyMo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CRUISEResearchGroup/AnyMo", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CRUISEResearchGroup/AnyMo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CRUISEResearchGroup/AnyMo: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/CRUISEResearchGroup/AnyMo/resolve/main/tokenizer.json
- Command line
-
hf download hf://CRUISEResearchGroup/AnyMo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CRUISEResearchGroup/AnyMo/resolve/main/tokenizer.json
12.2 MB
- Xet hash:
- adaba4a727ddccb2c40e083bc79a0e9d5d64829e976fc7a234bb4ddf8e97bed6
- Size of remote file:
- 12.2 MB
- SHA256:
- f7fca57ebb2a6864833cff3bcd05888b1bc93fb45eea23905ec7f90cb2258ac8
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