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
Download trainer_state.json from dipikakhullar/olmo-code-python3-text-only: direct link, hf CLI and curl.
- Browser
- Download file 515 kB
-
https://huggingface.co/dipikakhullar/olmo-code-python3-text-only/resolve/fcc449c666cf9c07f3a048ddefbb9e881b1f0dfd/trainer_state.json
- Command line
-
hf download hf://dipikakhullar/olmo-code-python3-text-only@fcc449c666cf9c07f3a048ddefbb9e881b1f0dfd/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/dipikakhullar/olmo-code-python3-text-only/resolve/fcc449c666cf9c07f3a048ddefbb9e881b1f0dfd/trainer_state.json
515 kB
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