How to use ep9io/deberta-v3-small-multilabel-mixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ep9io/deberta-v3-small-multilabel-mixed")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ep9io/deberta-v3-small-multilabel-mixed") model = AutoModelForSequenceClassification.from_pretrained("ep9io/deberta-v3-small-multilabel-mixed", device_map="auto")
https://huggingface.co/ep9io/deberta-v3-small-multilabel-mixed/resolve/main/tokenizer.json
hf download hf://ep9io/deberta-v3-small-multilabel-mixed/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ep9io/deberta-v3-small-multilabel-mixed/resolve/main/tokenizer.json
