Token Classification
Transformers
Safetensors
llama
text-generation
Question Answering
Knowledge Graphs
DBPedia
torchtune
text-generation-inference
Instructions to use aorogat/question-to-tagged-question-llama3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aorogat/question-to-tagged-question-llama3-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aorogat/question-to-tagged-question-llama3-lora")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aorogat/question-to-tagged-question-llama3-lora") model = AutoModelForCausalLM.from_pretrained("aorogat/question-to-tagged-question-llama3-lora") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!