Instructions to use surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-128k") model = PeftModel.from_pretrained(base_model, "surakarteh/323c2fb2-ee9c-4b15-a58d-a935a8dbc898") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98288245407feae04d4aa36a7713f1e8c394d33958dc21e9151a3e6f74690c22
- Size of remote file:
- 6.78 kB
- SHA256:
- 10c0c636a30f55faea62130e6b4599703ef85702ff1b6f99f7355eabb4859543
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