Instructions to use shapatel13/zephyrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shapatel13/zephyrqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-alpha") model = PeftModel.from_pretrained(base_model, "shapatel13/zephyrqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 671fa92bdaab3cd8b36cc19aeebac201cf7cdff84f8ba71a31de1caf08aedbf2
- Size of remote file:
- 27.4 MB
- SHA256:
- 12440e8d8ecebc5aa6abcc4636b5b2e0c04e0cce0b118e5e4e450c0f7a18e93a
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