Instructions to use dipikakhullar/olmo-code-python3-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dipikakhullar/olmo-code-python3-text-only with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-1B-hf") model = PeftModel.from_pretrained(base_model, "dipikakhullar/olmo-code-python3-text-only") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b24f018ba227c0bf2c19c8207bfefa5a95389969046fcff3584633645237e4c
- Size of remote file:
- 15.4 kB
- SHA256:
- 6aca0a2a6c5d62d3f81c9d8de9d3f67c6257c99a3ce09231e881e9ca60f90794
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