Instructions to use amztheory/code-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amztheory/code-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "amztheory/code-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a85ff9fb5b0dec66035141288204cca8ee475b83057c05d87a0e98c40803c23
- Size of remote file:
- 5.11 kB
- SHA256:
- c0a5a6ae831ec3abc8158a7bc9d6c28bf093309f83da5dd2ff6787d6ff5eeb22
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