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