Text Generation
PEFT
Safetensors
qwen
qwen1.5
lora
fine-tuned
medical-qa
allergic-rhinitis
urticaria
天算AI
NaturalAlgorithmAI
jinv2
conversational
Instructions to use jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B-Chat") model = PeftModel.from_pretrained(base_model, "jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/jinv2/Qwen1.5-7B-Chat-LoRA-Medical-Rhinitis-Urticaria/resolve/main/special_tokens_map.json
367 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |