Instructions to use strumber/Llama2letsmod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use strumber/Llama2letsmod with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "strumber/Llama2letsmod") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c69efd6d7ad15dce47d1e3f63336d9bf361ce55efef3059ec17c613ed1a7c0c5
- Size of remote file:
- 269 MB
- SHA256:
- a9c43e58372c7a413e3c640d17d2b254bb43d7adcaad1818405721aff95e7b4b
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