Instructions to use RESEARCH-EMPRM/emprm-v2-a2_support_gemma3_s0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RESEARCH-EMPRM/emprm-v2-a2_support_gemma3_s0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/NetDisk/ingyu/RESEARCH/groundedprm_shared/hf/models--google--gemma-3-12b-it/snapshots/96b6f1eccf38110c56df3a15bffe176da04bfd80") model = PeftModel.from_pretrained(base_model, "RESEARCH-EMPRM/emprm-v2-a2_support_gemma3_s0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6196ded7a5bc5ffd4a46a1f4a180235aed5328f893b23b455365375cab47657f
- Size of remote file:
- 1.05 GB
- SHA256:
- 154b938a6b0c50b1c3ad2fd1a064695044641c7013d18ca8e5150af4d0ad1f54
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