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:
- 62c4010c459454f608c58ab8917d4a773e92f6c7b6b38d0dc055473c24d7af73
- Size of remote file:
- 5.5 kB
- SHA256:
- 7d245efe4cb1811ec2cffc23b4d3aa9a49d1d65e92b8d678bec9a399e5c1889e
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