Instructions to use sibte-dev/phi2-support-response with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibte-dev/phi2-support-response with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sibte-dev/phi2-support-response", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from sibte-dev/phi2-support-response: direct link, hf CLI and curl.
- Browser
- Download file 380 Bytes
-
https://huggingface.co/sibte-dev/phi2-support-response/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://sibte-dev/phi2-support-response/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/sibte-dev/phi2-support-response/resolve/main/tokenizer_config.json
380 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 2048, | |
| "pad_token": "<|endoftext|>", | |
| "return_token_type_ids": false, | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |