Instructions to use flax-community/hubert-dementia-screening with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/hubert-dementia-screening with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flax-community/hubert-dementia-screening")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("flax-community/hubert-dementia-screening") model = AutoModel.from_pretrained("flax-community/hubert-dementia-screening", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/hubert_for_sequence_classification.cpython-38.pyc from flax-community/hubert-dementia-screening: direct link, hf CLI and curl.
- Browser
- Download file 3.37 kB
-
https://huggingface.co/flax-community/hubert-dementia-screening/resolve/main/__pycache__/hubert_for_sequence_classification.cpython-38.pyc
- Command line
-
hf download hf://flax-community/hubert-dementia-screening/__pycache__/hubert_for_sequence_classification.cpython-38.pyc
-
curl -L -o hubert_for_sequence_classification.cpython-38.pyc https://huggingface.co/flax-community/hubert-dementia-screening/resolve/main/__pycache__/hubert_for_sequence_classification.cpython-38.pyc
3.37 kB
This file contains binary data. It cannot be displayed, but you can still download it.