Instructions to use SeacowX/Enigma-70B-Entity-Attribute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeacowX/Enigma-70B-Entity-Attribute 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-Attribute") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40451488ae235deb087f865269f3b2b6406fa111e9aa7f55f7f34117268957b3
- Size of remote file:
- 5.5 kB
- SHA256:
- bbd11ee99ce1214ea2c28846fd88349c1f8d75df472e9cfe3d504cc8352a60f5
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