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
File size: 409 Bytes
b8d5614 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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>"
}
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