Instructions to use Pashtu/llama2-d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pashtu/llama2-d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Pashtu/llama2-d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1069133a59adf5624d54a6b4480e4b76857b6c3a01e5dfe549d89d9d3f85e54e
- Size of remote file:
- 33.6 MB
- SHA256:
- 3efa862efe4d9b5fb755e00992f8a1ca8a33fb735b1b342a42e8c768f95e9dd6
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