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 # 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="gasolsun/DynamicRAG-7B")# pip install -U transformers accelerate # 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
Commit History
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Improve model card
Verified signature2 remarks here: - I assume this model can be used for reranking? If yes, feel free to add the new "text-ranking" tag to all models. - there was an erroneous arxiv ID, this PR fixes it7a5ba2c
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Add pipeline tag, library name, and GitHub link (#1)
Verified signature- Add pipeline tag, library name, and GitHub link (fd07bbb2b6a00fe29923957fe54b51b1f2aa5263) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>521a42d
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