How to use HuggingFaceTB/stack-edu-classifier-shell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-shell")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-shell") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-shell", device_map="auto")
https://huggingface.co/HuggingFaceTB/stack-edu-classifier-shell/resolve/c478f81adffbc959f7ec10f8a03f6399db2d81db/final/tokenizer.json
hf download hf://HuggingFaceTB/stack-edu-classifier-shell@c478f81adffbc959f7ec10f8a03f6399db2d81db/final/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/HuggingFaceTB/stack-edu-classifier-shell/resolve/c478f81adffbc959f7ec10f8a03f6399db2d81db/final/tokenizer.json
