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