Instructions to use daniel40/25dbfbf5-96a7-4a34-8463-ca9669ad3e95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/25dbfbf5-96a7-4a34-8463-ca9669ad3e95 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, "daniel40/25dbfbf5-96a7-4a34-8463-ca9669ad3e95") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10cf235d9c192e9a473ce56da53bf3a57aed8ad9b19bd473a387913f665ae8e6
- Size of remote file:
- 28.4 MB
- SHA256:
- 99b8f14e74a1f0702ef24603f6d36a36d76f65d23da59695566fc5ebdf6946a6
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