How to use mobarmg/jev-schema-scorer-deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mobarmg/jev-schema-scorer-deberta-v3-large")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mobarmg/jev-schema-scorer-deberta-v3-large") model = AutoModelForSequenceClassification.from_pretrained("mobarmg/jev-schema-scorer-deberta-v3-large", device_map="auto")
https://huggingface.co/mobarmg/jev-schema-scorer-deberta-v3-large/resolve/4e52f50d5590662dc1ef11f273b3523123814a7d/tokenizer.json
hf download hf://mobarmg/jev-schema-scorer-deberta-v3-large@4e52f50d5590662dc1ef11f273b3523123814a7d/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mobarmg/jev-schema-scorer-deberta-v3-large/resolve/4e52f50d5590662dc1ef11f273b3523123814a7d/tokenizer.json
