Instructions to use saburbutt/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/testing") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4da2656ad86115c240e151c7c9110966d65cc7bd67455fc074591f5c1c208116
- Size of remote file:
- 823 MB
- SHA256:
- c135f799bb1136ec7e886cb6562987cdf3e245b6379bf630d5fd9d917abfa2a4
路
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