How to use ltg/norbert3-base_sentence-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ltg/norbert3-base_sentence-sentiment", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("ltg/norbert3-base_sentence-sentiment", trust_remote_code=True, device_map="auto")
https://huggingface.co/ltg/norbert3-base_sentence-sentiment/resolve/main/tokenizer.json
hf download hf://ltg/norbert3-base_sentence-sentiment/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ltg/norbert3-base_sentence-sentiment/resolve/main/tokenizer.json
