Instructions to use facebook/spar-paq-bm25-lexmodel-query-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/spar-paq-bm25-lexmodel-query-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/spar-paq-bm25-lexmodel-query-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/spar-paq-bm25-lexmodel-query-encoder") model = AutoModel.from_pretrained("facebook/spar-paq-bm25-lexmodel-query-encoder") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 512, "name_or_path": "bert-base-uncased"} |