Instructions to use ParthGeek/code-search-net-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParthGeek/code-search-net-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ParthGeek/code-search-net-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ParthGeek/code-search-net-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
-
https://huggingface.co/ParthGeek/code-search-net-tokenizer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ParthGeek/code-search-net-tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ParthGeek/code-search-net-tokenizer/resolve/main/tokenizer_config.json
286 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 1024, | |
| "pad_token": null, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |