How to use webis/tiny-bert-ranker-l-2-bm25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="webis/tiny-bert-ranker-l-2-bm25")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("webis/tiny-bert-ranker-l-2-bm25") model = AutoModelForSequenceClassification.from_pretrained("webis/tiny-bert-ranker-l-2-bm25", device_map="auto")
https://huggingface.co/webis/tiny-bert-ranker-l-2-bm25/resolve/main/tokenizer.json
hf download hf://webis/tiny-bert-ranker-l-2-bm25/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/webis/tiny-bert-ranker-l-2-bm25/resolve/main/tokenizer.json
