Instructions to use SaiSiddhanth/llama-2-13b-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaiSiddhanth/llama-2-13b-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "SaiSiddhanth/llama-2-13b-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 187d3f56e9689ab000dd076f6b48eb54494632d7b31f4bd140e16434f3507289
- Size of remote file:
- 13.1 MB
- SHA256:
- 65a78e0528c91825ad323ae7a92397c253fee0f7fc335d399d5575475408e00d
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