Instructions to use algoprog/mimics-query-facet-encoder-mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algoprog/mimics-query-facet-encoder-mpnet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="algoprog/mimics-query-facet-encoder-mpnet-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("algoprog/mimics-query-facet-encoder-mpnet-base") model = AutoModel.from_pretrained("algoprog/mimics-query-facet-encoder-mpnet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "[UNK]", "pad_token": "<pad>", "mask_token": "<mask>", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "sentence-transformers/all-mpnet-base-v2", "tokenizer_class": "MPNetTokenizer"} |