How to use tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability") model = AutoModelForSequenceClassification.from_pretrained("tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability", device_map="auto")
https://huggingface.co/tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability/resolve/main/tokenizer.json
hf download hf://tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tom-010/judge_answer___29_deberta_v3_base_msmarco_answerability/resolve/main/tokenizer.json
