How to use FluidInference/clef-text-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FluidInference/clef-text-0.6b")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FluidInference/clef-text-0.6b") model = AutoModelForCausalLM.from_pretrained("FluidInference/clef-text-0.6b", device_map="auto")
https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/__pycache__/joint_schema_model.cpython-312.pyc
hf download hf://FluidInference/clef-text-0.6b/__pycache__/joint_schema_model.cpython-312.pyc
curl -L -o joint_schema_model.cpython-312.pyc https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/__pycache__/joint_schema_model.cpython-312.pyc
