Instructions to use soyk/cs_address_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use soyk/cs_address_parser with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B") model = PeftModel.from_pretrained(base_model, "soyk/cs_address_parser") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from soyk/cs_address_parser: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/soyk/cs_address_parser/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://soyk/cs_address_parser/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/soyk/cs_address_parser/resolve/main/tokenizer_config.json
1.02 kB
| { | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "is_split_into_words": true, | |
| "legacy": true, | |
| "model_max_length": 4096, | |
| "pad_token": "<|endoftext|>", | |
| "padding_side": "left", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |