How to use Ngit/MiniLM-L6-H384-uncased-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ngit/MiniLM-L6-H384-uncased-onnx")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ngit/MiniLM-L6-H384-uncased-onnx") model = AutoModelForSequenceClassification.from_pretrained("Ngit/MiniLM-L6-H384-uncased-onnx", device_map="auto")
https://huggingface.co/Ngit/MiniLM-L6-H384-uncased-onnx/resolve/main/tokenizer.json
hf download hf://Ngit/MiniLM-L6-H384-uncased-onnx/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Ngit/MiniLM-L6-H384-uncased-onnx/resolve/main/tokenizer.json
