Instructions to use Nadav/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Nadav/test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nadav/test") model = AutoModelForQuestionAnswering.from_pretrained("Nadav/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b22dcd385feeb07dee1dc471ca01235e8ebe80c00ab45edc1d96d43b3ce55894
- Size of remote file:
- 465 MB
- SHA256:
- 75417956544be7870f632880552b8ef2a8cda6cc26aa874dc3524fbde452d2ec
路
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