Instructions to use umarzein/saved-distilbert-squad-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umarzein/saved-distilbert-squad-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="umarzein/saved-distilbert-squad-new")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("umarzein/saved-distilbert-squad-new") model = AutoModelForQuestionAnswering.from_pretrained("umarzein/saved-distilbert-squad-new") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4542a77a730ae890c0ee311ec23fef028445eefdd72d4c8a30f616595ce72235
- Size of remote file:
- 265 MB
- SHA256:
- 43eaddaacc01ba38fa01369023859af3538be605b82e344b1c099cdb3e3c26b7
路
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