Instructions to use WesleySantos/mh_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WesleySantos/mh_qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "WesleySantos/mh_qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a007dea14f8be4f3669db339f7c1079d03b411e476761fd981dda53b87b65b6
- Size of remote file:
- 16.8 MB
- SHA256:
- 3ee34f1ba76e12ae4b23b45b61f6fd3884c66ce54e12ae42fda1f9ab442c29bd
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