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 special_tokens_map.json from soyk/cs_address_parser: direct link, hf CLI and curl.
- Browser
- Download file 467 Bytes
-
https://huggingface.co/soyk/cs_address_parser/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://soyk/cs_address_parser/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/soyk/cs_address_parser/resolve/main/special_tokens_map.json
467 Bytes
| { | |
| "bos_token": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |