Instructions to use gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training-completed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training-completed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training-completed")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training-completed") model = AutoModelForQuestionAnswering.from_pretrained("gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training-completed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09079724161e9f4f454d78fd4afd8dee1882f2511bfd8010bc91c0c1c649ba9b
- Size of remote file:
- 265 MB
- SHA256:
- d245749e162f500225382e7487f20ff1649817f1a56728ec30d0937325015b4d
路
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