Instructions to use umarzein/saved-distilbert-squad-newer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umarzein/saved-distilbert-squad-newer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="umarzein/saved-distilbert-squad-newer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("umarzein/saved-distilbert-squad-newer") model = AutoModelForQuestionAnswering.from_pretrained("umarzein/saved-distilbert-squad-newer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b7416e5c1a76c33cb903214e97b24d4ad2fb7ba26ba2d07c0ff43b90169acc3
- Size of remote file:
- 265 MB
- SHA256:
- 6194e82da591ae9569d7c05bb1065b40e3f58471afaacf02ea7906a40348a517
路
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