Text Generation
PEFT
Safetensors
English
lora
qwen2.5
sakthai
house-of-sak
tool-calling
function-calling
agent
qlora
conversational
assistant
Eval Results
Eval Results (legacy)
Instructions to use Nanthasit/sakthai-context-7b-tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nanthasit/sakthai-context-7b-tools with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Nanthasit/sakthai-context-7b-tools") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adfa57990ca2e1da5aef794a5caa7001ef07d83e4761a0ba59d82d793aae2e3f
- Size of remote file:
- 5.71 kB
- SHA256:
- 4073b2be10daf394fc4127910431a1be4278d3021ecf06ef97fc6a21b8a3c034
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