Instructions to use Suramya/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Suramya/content with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Suramya/content") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d06cc32a8cefce24fa1fcf161e59b910d4b194c6a69446459a93be2cc08f749
- Size of remote file:
- 5.43 kB
- SHA256:
- 8b7949e43fd6257992dfc4dea724e877d8680d769f3d416897cc703fd5ad1475
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