How to use marcuskd/norbert2_sentiment_test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcuskd/norbert2_sentiment_test1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcuskd/norbert2_sentiment_test1") model = AutoModelForSequenceClassification.from_pretrained("marcuskd/norbert2_sentiment_test1", device_map="auto")
https://huggingface.co/marcuskd/norbert2_sentiment_test1/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://marcuskd/norbert2_sentiment_test1@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/marcuskd/norbert2_sentiment_test1/resolve/refs%2Fpr%2F1/tokenizer.json
