Instructions to use cragtmp/t3r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/t3r with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/t3r") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45691727790bad5a34396bf55912aaf8a9222b29c8b232a96ea7965e9ba26e02
- Size of remote file:
- 14.2 kB
- SHA256:
- 54474edc28f9d10516282bfd15de48ac16c008997d77fe58698af452c9249acd
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