Instructions to use EdBerg/Combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Combined with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("inceptionai/jais-adapted-13b-chat") model = PeftModel.from_pretrained(base_model, "EdBerg/Combined") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3dbc843e43532c6972c1d4226f512c386b123f7e09a37c693d286aea814c2e8
- Size of remote file:
- 1.18 MB
- SHA256:
- b5be997e01a75127ffdc0f1b8186ec7c7f35748fa170844058ad91ace4cf08c5
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