Instructions to use wanglawrencelo/code-llama-3.1-8b-NER-test-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wanglawrencelo/code-llama-3.1-8b-NER-test-0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "wanglawrencelo/code-llama-3.1-8b-NER-test-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f16d55ca9401e0e67716123771fcedcbbd0876cbca71ae806431f38e79e607
- Size of remote file:
- 5.5 kB
- SHA256:
- 96df3e0ed3ad564a3b4779985aaa246518d8ee820986521b579fb59283cd440e
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