Instructions to use jolual2747/qa_nlp_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jolual2747/qa_nlp_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="jolual2747/qa_nlp_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("jolual2747/qa_nlp_model") model = AutoModelForQuestionAnswering.from_pretrained("jolual2747/qa_nlp_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87bb6648ea80e3766972b46dd74309d5c84df8d7bbc947c56b0d407719b4d1af
- Size of remote file:
- 4.03 kB
- SHA256:
- bca68ab50208b73e894ab0d152edd036cfd8e72293b4106ceac805c452b7e8f7
路
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