Instructions to use deepapaikar/Llama2_13B_3kQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepapaikar/Llama2_13B_3kQA 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, "deepapaikar/Llama2_13B_3kQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 598b3a8de2e5065f52a8aff3cc704ef4f2227f088f940944f6ff8ed8cda55adf
- Size of remote file:
- 210 MB
- SHA256:
- eaa2926ccd5ef3b9b839c5fffde8da6d85124aa8c94c320a9aeaefcf694b7f60
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