Instructions to use Qdrant/Splade_PP_en_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/Splade_PP_en_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Qdrant/Splade_PP_en_v1") model = AutoModelForMaskedLM.from_pretrained("Qdrant/Splade_PP_en_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Qdrant/Splade_PP_en_v1: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Qdrant/Splade_PP_en_v1/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://Qdrant/Splade_PP_en_v1@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Qdrant/Splade_PP_en_v1/resolve/refs%2Fpr%2F1/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.