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:
- 1b781f1cd7dc3ac6df7223013eaa456ef4f99e9fc8d5a89b66b689d11f465900
- Size of remote file:
- 3.52 kB
- SHA256:
- 02a4778bea6052c69fd57b8a56802562ef2b96eade2edb935c6483a609d279c3
路
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