Instructions to use gasolsun/DynamicRAG-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gasolsun/DynamicRAG-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="gasolsun/DynamicRAG-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("gasolsun/DynamicRAG-7B") model = AutoModelForCausalLM.from_pretrained("gasolsun/DynamicRAG-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and GitHub link
#1
by nielsr HF Staff - opened
This PR adds the missing pipeline_tag and library_name metadata, making the model discoverable through the Hugging Face pipeline interface and clarifying its compatibility with the transformers library.
gasolsun changed pull request status to merged