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:
- e26a972be0826fdc1b8c38cd0a056f3704b9819368e6d8d756ff09db5a4987eb
- Size of remote file:
- 440 MB
- SHA256:
- 37b42d52a113855cc586be54e38708b79c60d5fad9ba1c7b8519b586f4571cce
路
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