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