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
Delete generation_config.json with huggingface_hub
Browse files- generation_config.json +0 -6
generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": 100257,
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"pad_token_id": 100277,
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"transformers_version": "4.52.4"
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}
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