Instructions to use dfurman/Llama-2-13B-Instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dfurman/Llama-2-13B-Instruct-v0.2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "dfurman/Llama-2-13B-Instruct-v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afde33e3c50ccb4653dff7607b8407e58af80cb2f262e186fa3bfda1a061ec0c
- Size of remote file:
- 419 MB
- SHA256:
- 9f70dc35db3f30fd244fcbb6c1e7ba4488e89dda8c1b0033bacf8f0dc2b74dbe
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