How to use ltuncay/BEST-RQ-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ltuncay/BEST-RQ-2", trust_remote_code=True)
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ltuncay/BEST-RQ-2", trust_remote_code=True, device_map="auto")
https://huggingface.co/ltuncay/BEST-RQ-2/resolve/main/audio-embeddings/.python-version
hf download hf://ltuncay/BEST-RQ-2/audio-embeddings/.python-version
curl -L -o .python-version https://huggingface.co/ltuncay/BEST-RQ-2/resolve/main/audio-embeddings/.python-version
