Instructions to use sudhangshankar/llama2_cssnlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sudhangshankar/llama2_cssnlp 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, "sudhangshankar/llama2_cssnlp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78bee1610b2ba2dbd1f818777e15d37905b4261983d5b90330aa7665781e364a
- Size of remote file:
- 16.8 MB
- SHA256:
- 72d05678c597a3cfa1b5275d837857f85680adbf8c9a287fd20c1ef9d9b968fb
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