How to use stanford-nlpxed/solution with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stanford-nlpxed/solution")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("stanford-nlpxed/solution") model = AutoModelForSequenceClassification.from_pretrained("stanford-nlpxed/solution", device_map="auto")
https://huggingface.co/stanford-nlpxed/solution/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://stanford-nlpxed/solution@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/stanford-nlpxed/solution/resolve/refs%2Fpr%2F1/tokenizer.json
