Instructions to use sptrodon/Optimum-Graphcore-Demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sptrodon/Optimum-Graphcore-Demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sptrodon/Optimum-Graphcore-Demo")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sptrodon/Optimum-Graphcore-Demo") model = AutoModelForQuestionAnswering.from_pretrained("sptrodon/Optimum-Graphcore-Demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa73c01b293e709f94fdd6a1971d2fbbdab464345cf371882793b2a2add1e608
- Size of remote file:
- 668 MB
- SHA256:
- 5f384c444fd59609a964def97aa72c65f137875bd481e99af953082f996446c4
路
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