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:
- 97eb3ca04daf40099d3e04910e7fced65a9d0c2690546214e102cf68ca8e96b4
- Size of remote file:
- 2.75 kB
- SHA256:
- 3081639520de5c1f5c8a12096f2aefdcc1fbcd041daa5e0a52782bdd2823f1ae
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