Instructions to use RadAlienware/mis_mod_bn_2nd_phase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RadAlienware/mis_mod_bn_2nd_phase with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("intelsense/IntelsenseMistral1stPhase") model = PeftModel.from_pretrained(base_model, "RadAlienware/mis_mod_bn_2nd_phase") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 026f5054fa96ffed845b8abe6bd00c24fad074ced05d02ae3fe7eee46156b2d1
- Size of remote file:
- 1.56 MB
- SHA256:
- 075e1fa867e40e996ad6a23f60554d934079af5d66614905626f018756a8af5e
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