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