Question Answering
Transformers
PyTorch
Safetensors
English
llama
text-generation
text-generation-inference
Instructions to use Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca") model = AutoModelForCausalLM.from_pretrained("Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding Evaluation Results
#3
by Andron00e - opened
This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions