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