Instructions to use fathyshalab/wechsel-saquad20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathyshalab/wechsel-saquad20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="fathyshalab/wechsel-saquad20")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("fathyshalab/wechsel-saquad20") model = AutoModelForQuestionAnswering.from_pretrained("fathyshalab/wechsel-saquad20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f732cd0f2c8a5a38db8208331a9e6115ca63ee6919e044cb7ab5260a5767d7fc
- Size of remote file:
- 496 MB
- SHA256:
- 23eef1a37c86d48c1d2feb6b2cb732506c68336a4c671322333948abb5b8710e
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