Instructions to use IvanSem/avito_bge_reranker_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use IvanSem/avito_bge_reranker_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("BAAI/bge-reranker-v2-m3") model = PeftModel.from_pretrained(base_model, "IvanSem/avito_bge_reranker_lora") - Transformers
How to use IvanSem/avito_bge_reranker_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IvanSem/avito_bge_reranker_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 8192, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |