Instructions to use SeacowX/Enigma-8B-Entity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeacowX/Enigma-8B-Entity 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a411b3f34808b0bb62d3535aaf73f8eaacf6728abd5e972c66654a6fa9183c73
- Size of remote file:
- 168 MB
- SHA256:
- 3702902e92919da75eaf9695601e1c31c4933d05f8b67ae00e6a946bb76dbaf5
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