Instructions to use josephmayo/HRM-Text-1B-sft-code-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use josephmayo/HRM-Text-1B-sft-code-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sapientinc/HRM-Text-1B") model = PeftModel.from_pretrained(base_model, "josephmayo/HRM-Text-1B-sft-code-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f7de72f230786382e2ecf71361a81c27a4648630177b99a1b2ccdf89fa643f8
- Size of remote file:
- 5.33 kB
- SHA256:
- d3ce55e245a4da9fc046f53d71b5df1c745366af9c00ffa3d8541aec338603cd
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