Instructions to use ankur2402/llama2FineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ankur2402/llama2FineTuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "ankur2402/llama2FineTuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f1001291897f7d4e31246cd0c45918edad4038522eee980003982ac64d0c27b
- Size of remote file:
- 134 MB
- SHA256:
- f771cfb6f3378aa5f39ff1b87fe4d2759969976c4cb653783591e1ba38f2ce19
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