How to use ltuncay/BEST-RQ-2.1-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ltuncay/BEST-RQ-2.1-base", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ltuncay/BEST-RQ-2.1-base", trust_remote_code=True, device_map="auto")
https://huggingface.co/ltuncay/BEST-RQ-2.1-base/resolve/main/requirements.txt
hf download hf://ltuncay/BEST-RQ-2.1-base/requirements.txt
curl -L -o requirements.txt https://huggingface.co/ltuncay/BEST-RQ-2.1-base/resolve/main/requirements.txt
