Instructions to use laquythang/b87811a8-2e38-4b53-a7ed-1e84d85e61be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/b87811a8-2e38-4b53-a7ed-1e84d85e61be with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m-deduped") model = PeftModel.from_pretrained(base_model, "laquythang/b87811a8-2e38-4b53-a7ed-1e84d85e61be") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69d861cb4bcd521a4b22d8791da9d192640e8a7ed43661aa5e081ef8fd2ccec1
- Size of remote file:
- 6.78 kB
- SHA256:
- 02caac6539fb7f8c48926e5557539bfabade46f9ee19f26e9a8421a9e3ea8087
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