Instructions to use SeacowX/Enigma-70B-Entity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeacowX/Enigma-70B-Entity with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/scratch_tmp/prj/inf_llmcache/hf_cache/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/38ff4e01a70559264c95945aa04b900a11e68422") model = PeftModel.from_pretrained(base_model, "SeacowX/Enigma-70B-Entity") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7e66b100aff86c5458ac1c2bf3c66f958f5d514d580373e4d377e973747155f
- Size of remote file:
- 829 MB
- SHA256:
- c6e5d399f06bb891e10074a9027d5eac802d6356bd9e3555a0adfdc859aabaa6
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