Text Generation
PEFT
Safetensors
English
qwen2.5
qwen2.5-coder
code-generation
browser-automation
web-agent
tool-calling
function-calling
agent
conversational
lora
adapter
sft
trl
sakthai
house-of-sak
Eval Results (legacy)
Eval Results
Instructions to use Nanthasit/sakthai-coder-browser-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nanthasit/sakthai-coder-browser-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "Nanthasit/sakthai-coder-browser-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aa68f23e1d15d65f65f657a425879c766f718e9a5734c712cf9de166eb25c2e
- Size of remote file:
- 5.65 kB
- SHA256:
- 4cb30ad2a4a5b713b7d9c56fb030ee0302f85f94633e583ad0bb12811377a63c
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