Instructions to use TuningAI/Llama2_13B_startup_Assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TuningAI/Llama2_13B_startup_Assistant 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, "TuningAI/Llama2_13B_startup_Assistant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cf7b2412190fd7f7be4c18809c3cc41d3ff684c93b23675832304df00f505c8
- Size of remote file:
- 210 MB
- SHA256:
- e22694a34c85452918e566665e4dfad4340a4970f32157c167df5eb928b05748
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