Instructions to use vibhav18/InsuranceMicroLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vibhav18/InsuranceMicroLLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "vibhav18/InsuranceMicroLLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5aa801184146af277f5d6362a952bd5db75d613db27e94a6cd08beae2263f37
- Size of remote file:
- 522 MB
- SHA256:
- f6034cec801be98594276811526580b8af72cb41b7744c143a65a590889966a9
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