How to use Labib11/MUG-B-1.6-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Labib11/MUG-B-1.6-onnx")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Labib11/MUG-B-1.6-onnx") model = AutoModel.from_pretrained("Labib11/MUG-B-1.6-onnx", device_map="auto")
https://huggingface.co/Labib11/MUG-B-1.6-onnx/resolve/main/tokenizer.json
hf download hf://Labib11/MUG-B-1.6-onnx/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Labib11/MUG-B-1.6-onnx/resolve/main/tokenizer.json
