Question Answering
Transformers
Safetensors
English
llama
text-generation
Eval Results (legacy)
text-generation-inference
Instructions to use eren23/DistiLabelOrca-TinyLLama-1.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eren23/DistiLabelOrca-TinyLLama-1.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="eren23/DistiLabelOrca-TinyLLama-1.1B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("eren23/DistiLabelOrca-TinyLLama-1.1B") model = AutoModelForCausalLM.from_pretrained("eren23/DistiLabelOrca-TinyLLama-1.1B") - Notebooks
- Google Colab
- Kaggle
Adding Evaluation Results
#1
by leaderboard-pr-bot - 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
eren23 changed pull request status to merged