Instructions to use mrm8488/bert-tiny-wrslb-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-tiny-wrslb-finetuned-squadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-tiny-wrslb-finetuned-squadv1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-wrslb-finetuned-squadv1") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-tiny-wrslb-finetuned-squadv1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d70c2596d61a65a6de75afb13dfa44bac73a448ba9924f99c28a40f7e37b3d91
- Size of remote file:
- 17.5 MB
- SHA256:
- d22d90784ebfa9fd97bfdaa1c1d532820beb2d98433dfb42ef8bfdd636dc17c1
路
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