Instructions to use herMaster/devang-qna-model-1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use herMaster/devang-qna-model-1epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="herMaster/devang-qna-model-1epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("herMaster/devang-qna-model-1epoch") model = AutoModelForQuestionAnswering.from_pretrained("herMaster/devang-qna-model-1epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f787da6f850f3a8121b12f3e9716f0862424dc41dd402652a713c03c35d6b163
- Size of remote file:
- 265 MB
- SHA256:
- 3cbc2e481e91fd18dd15140acbb2aa5bef7de08efbef7a44e2d81c66e7780617
路
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