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:
- ab1f9bfe910c128b37d74212a9f710656df22e4f3c2402084d417221ccc51efa
- Size of remote file:
- 2.5 GB
- SHA256:
- 9fba21d04dfa380b8e26f87e45102eaeabd6a18d1dd2dc1c7d652d237f3df5ed
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