How to use tae898/emoberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tae898/emoberta-large")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tae898/emoberta-large") model = AutoModelForSequenceClassification.from_pretrained("tae898/emoberta-large", device_map="auto")
https://huggingface.co/tae898/emoberta-large/resolve/main/tokenizer.json
hf download hf://tae898/emoberta-large/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tae898/emoberta-large/resolve/main/tokenizer.json
