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