Instructions to use Kamyar-zeinalipour/Llama2-13B-Syntax-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kamyar-zeinalipour/Llama2-13B-Syntax-Instruct 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, "Kamyar-zeinalipour/Llama2-13B-Syntax-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdbeefa392813220af5ddd6733cadc33f13f41f7293b13d62924e02d1bf97b35
- Size of remote file:
- 6.07 kB
- SHA256:
- 92e7e8ba34c3a71d053b759582aa5d33b6b583be68a860bb899a6fbdbdff3eea
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