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:
- edee911274df977e427510bf2da779d2b0a01fff11a32d0a78c01c54ad121231
- Size of remote file:
- 3.96 kB
- SHA256:
- 339fe881bae9ff6a773164981da64ee64e674807345fddcdc7675b49933262b6
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