Instructions to use Upetha/qa-streamlit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Upetha/qa-streamlit-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Upetha/qa-streamlit-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Upetha/qa-streamlit-model") model = AutoModelForQuestionAnswering.from_pretrained("Upetha/qa-streamlit-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e36e4d38f6577263a4772e6788cdf482b3dfc01d4fc1f65fd6c9ab3dc559be4
- Size of remote file:
- 5.2 kB
- SHA256:
- c7b92d9fb2d76c99c7e4e1a751348f92a499d3bb7d00b33e768335152f748129
路
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