Instructions to use SebastianKotstein/restberta-qa-endpoint-discovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-endpoint-discovery with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SebastianKotstein/restberta-qa-endpoint-discovery")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-endpoint-discovery") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-endpoint-discovery", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b05379b4bd64fbf1c2aebc611fb77f0ed15edc82c02849655e7894e83a06a43
- Size of remote file:
- 497 MB
- SHA256:
- 6b4cb2e5b33ed61c6510445063bc7993524b005b1834fba1b499e7b9b8c47efe
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