Instructions to use PragmaticMachineLearning/llama2-coqa-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PragmaticMachineLearning/llama2-coqa-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "PragmaticMachineLearning/llama2-coqa-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 232e8fda78b307c01f357668e1da30e1dc4306d0a60123dac481ee8cfa2432d1
- Size of remote file:
- 3.96 kB
- SHA256:
- 6064b0a0c2ca9e8df89e5e4efd44f9f52ac757aad2b94ae5a3b4014a0422b4a9
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