Instructions to use trangtrannnnn/d22e95be-621a-4aae-b600-195b54bf94b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/d22e95be-621a-4aae-b600-195b54bf94b7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Solar-10b-32k") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/d22e95be-621a-4aae-b600-195b54bf94b7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09537b55ebc99867054258fc1cf21ba7d933fa4df782a903f89cc93d463fba70
- Size of remote file:
- 6.78 kB
- SHA256:
- da675c0f5a9c9ac7183bb98d78b14e1fe69f642b689c8ed7cbb4cda12a6b621f
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