Instructions to use rbelanec/train_codealpacapy_456_1765235666 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbelanec/train_codealpacapy_456_1765235666 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "rbelanec/train_codealpacapy_456_1765235666") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70137f35d02348a0035408d8e0f100db638ca0266aab450b31f8ae6ced3e7b4a
- Size of remote file:
- 17.2 MB
- SHA256:
- 8c1dcab308e7cf5970ea38815e0a62887d705c5b436f869ca27a5dcdd40c36a6
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