Instructions to use wesleyaag/data2vec-squad-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesleyaag/data2vec-squad-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="wesleyaag/data2vec-squad-test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("wesleyaag/data2vec-squad-test") model = AutoModelForQuestionAnswering.from_pretrained("wesleyaag/data2vec-squad-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d36958a40df37856c2ceda55b9e9a9449a44dcfb1f51fce13410fec1597eb045
- Size of remote file:
- 496 MB
- SHA256:
- 21dd1735928108e2fed12781d2cc58dc2543c9a9d894d2992cdd1142899a1b01
路
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