Instructions to use trangtrannnnn/b6c743d7-59d5-4102-b00e-c3c843a054ea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/b6c743d7-59d5-4102-b00e-c3c843a054ea with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/0243b90c-8e39-4616-a4c6-82e4ad8a78c6") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/b6c743d7-59d5-4102-b00e-c3c843a054ea") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e24a2d1bda65aa95654448ce9517a2d7dbf8d706e2f4a8a696576a48436000bf
- Size of remote file:
- 6.78 kB
- SHA256:
- d57773ce9f643b28339b966939ff7c6c5fcaf3208950b42400f1c1846c3a4911
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