Instructions to use hariprabhakaran45/CTION-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hariprabhakaran45/CTION-QA 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="hariprabhakaran45/CTION-QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hariprabhakaran45/CTION-QA") model = AutoModelForQuestionAnswering.from_pretrained("hariprabhakaran45/CTION-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hariprabhakaran45/CTION-QA: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/hariprabhakaran45/CTION-QA/resolve/main/tokenizer.json
- Command line
-
hf download hf://hariprabhakaran45/CTION-QA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hariprabhakaran45/CTION-QA/resolve/main/tokenizer.json
3.56 MB
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