Question Answering
Transformers
PyTorch
English
llama
text-generation
text-generation-inference
8-bit precision
Instructions to use uf-aice-lab/Llama_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uf-aice-lab/Llama_Lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="uf-aice-lab/Llama_Lora")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("uf-aice-lab/Llama_Lora") model = AutoModelForCausalLM.from_pretrained("uf-aice-lab/Llama_Lora") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot