Text Generation
PEFT
Safetensors
English
lora
governed-ai
proposal-only
szl-holdings
chaski
cutting
conversational
Instructions to use SZLHOLDINGS/chaski-5050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SZLHOLDINGS/chaski-5050 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("C:\\Users\\steph\\.cache\\huggingface\\hub\\models--Qwen--Qwen3.5-0.8B\\snapshots\\2fc06364715b967f1860aea9cf38778875588b17") model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/chaski-5050") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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