Instructions to use haurajahra/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haurajahra/Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haurajahra/Model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haurajahra/Model") model = AutoModelForQuestionAnswering.from_pretrained("haurajahra/Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65a9a336e1102f81c29bd0ecdc4df63a62860ef820c0f7214350fe4050da53b5
- Size of remote file:
- 4.09 kB
- SHA256:
- e928b7daa25f4a3e515ccaf3fa26797c0727baaf5f0ef52752bf3e205dec8c7b
路
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