Instructions to use hadihssn/VehicleGPT_Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hadihssn/VehicleGPT_Chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("typeof/phi-1_5") model = PeftModel.from_pretrained(base_model, "hadihssn/VehicleGPT_Chatbot") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hadihssn/VehicleGPT_Chatbot: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/hadihssn/VehicleGPT_Chatbot/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hadihssn/VehicleGPT_Chatbot/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hadihssn/VehicleGPT_Chatbot/resolve/main/tokenizer_config.json
237 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 2048, | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |