Instructions to use thalllsssss/aafc4a56-d3b2-49e0-9ffe-873cfac7f218 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/aafc4a56-d3b2-49e0-9ffe-873cfac7f218 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-125m") model = PeftModel.from_pretrained(base_model, "thalllsssss/aafc4a56-d3b2-49e0-9ffe-873cfac7f218") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d252a7c12afe481f24eb3b9590a8a17ea67d8c3b9bffc7255cd99d524e436762
- Size of remote file:
- 5.36 MB
- SHA256:
- fd73a0535cbc433a532c78920c2846e2015487b1720e155c75d43ab24c7bcaa5
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