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:
- 8f768e5cab4bf75ee7a793c39b64c33c67004c40b29bb2ad31c2211952a8e582
- Size of remote file:
- 33.6 MB
- SHA256:
- 6ac4d4b22dfb3ced7b3755d4ae8f2b2847247e79d833dd0f4583c7103e23859c
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