Instructions to use havinash-ai/f2cda622-9570-4e02-99c5-cce2f96c45a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/f2cda622-9570-4e02-99c5-cce2f96c45a8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "havinash-ai/f2cda622-9570-4e02-99c5-cce2f96c45a8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49c58eb23df8b4590cf706cd7617455a98f49af7235a72bcff1a3fe994984431
- Size of remote file:
- 28.4 MB
- SHA256:
- c9889a5716a2e9d3fca05389d119fcf1ae28a2ae6626e49d35cec22cb1cc15ad
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