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