Instructions to use chloemeow/ielts-assistant-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use chloemeow/ielts-assistant-lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for chloemeow/ielts-assistant-lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for chloemeow/ielts-assistant-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for chloemeow/ielts-assistant-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="chloemeow/ielts-assistant-lora", max_seq_length=2048, )
ielts-assistant LoRA Adapter
这是基于DialoGPT训练的IELTS助手LoRA适配器。
使用方法
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="chloemeow/ielts-assistant-lora",
max_seq_length=2048,
dtype=None,
load_in_4bit=True,
)
训练信息
- 基础模型: microsoft/DialoGPT-medium
- LoRA rank: 16
- 训练轮数: 3
- 学习率: 2e-4
Inference Providers NEW
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Model tree for chloemeow/ielts-assistant-lora
Base model
microsoft/DialoGPT-medium