How to use tiny-random/d3-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tiny-random/d3-turbo", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("tiny-random/d3-turbo", trust_remote_code=True) model = AutoModel.from_pretrained("tiny-random/d3-turbo", trust_remote_code=True, device_map="auto")
https://huggingface.co/tiny-random/d3-turbo/resolve/main/__pycache__/d3_fast.cpython-312.pyc
hf download hf://tiny-random/d3-turbo/__pycache__/d3_fast.cpython-312.pyc
curl -L -o d3_fast.cpython-312.pyc https://huggingface.co/tiny-random/d3-turbo/resolve/main/__pycache__/d3_fast.cpython-312.pyc
