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