Instructions to use SeacowX/Enigma-8B-Entity-Attribute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeacowX/Enigma-8B-Entity-Attribute with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/scratch_tmp/prj/charnu/seacow_hf_cache/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/0e9e39f249a16976918f6564b8830bc894c89659/") model = PeftModel.from_pretrained(base_model, "SeacowX/Enigma-8B-Entity-Attribute") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1262c498a4cde930390768308a3f2716be6efc35e2c8c2db7fd70057948591e
- Size of remote file:
- 5.5 kB
- SHA256:
- d864e2131e7ac64cbd43ec5f925486600415b61d6f8e1af63eb83bffb9380462
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