Text Generation
PEFT
Safetensors
English
code
typescript
lora
qwen2.5-coder
autonomous-agent
software-engineering
conversational
Instructions to use Tornado9991/antcoder-builder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tornado9991/antcoder-builder-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Tornado9991/antcoder-builder-7b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tornado9991/antcoder-builder-7b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Tornado9991/antcoder-builder-7b/resolve/main/tokenizer.json
- Command line
-
hf download hf://Tornado9991/antcoder-builder-7b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tornado9991/antcoder-builder-7b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d3f835122bddb470f53048ff36f1a5116791b8f3a003f9d17b3b03b0b81cc5fe
- Size of remote file:
- 11.4 MB
- SHA256:
- 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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