Instructions to use guo1006/transformers-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guo1006/transformers-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="guo1006/transformers-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("guo1006/transformers-qa") model = AutoModelForQuestionAnswering.from_pretrained("guo1006/transformers-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c7fbe12b89a75855b6fc1595a33bc80e090ba8550b4406d13d58b400c5bae3f
- Size of remote file:
- 261 MB
- SHA256:
- 07dcff2c51cc1981bcb4a7016ee7974c6fc5fb65f468807b12f6ba1e145adbec
路
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