How to use Akshat131/splade-multi-static-pruned-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Akshat131/splade-multi-static-pruned-v2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Akshat131/splade-multi-static-pruned-v2") model = AutoModelForMaskedLM.from_pretrained("Akshat131/splade-multi-static-pruned-v2", device_map="auto")
https://huggingface.co/Akshat131/splade-multi-static-pruned-v2/resolve/main/tokenizer.json
hf download hf://Akshat131/splade-multi-static-pruned-v2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Akshat131/splade-multi-static-pruned-v2/resolve/main/tokenizer.json
