How to use mmillet/distilrubert-tiny-cased-conversational-v1_empathy_preprocessed_punct_lowercasing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mmillet/distilrubert-tiny-cased-conversational-v1_empathy_preprocessed_punct_lowercasing")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mmillet/distilrubert-tiny-cased-conversational-v1_empathy_preprocessed_punct_lowercasing") model = AutoModelForSequenceClassification.from_pretrained("mmillet/distilrubert-tiny-cased-conversational-v1_empathy_preprocessed_punct_lowercasing", device_map="auto")
