Instructions to use fadliaulawi/bert-finetuned-squad-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fadliaulawi/bert-finetuned-squad-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="fadliaulawi/bert-finetuned-squad-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("fadliaulawi/bert-finetuned-squad-accelerate") model = AutoModelForQuestionAnswering.from_pretrained("fadliaulawi/bert-finetuned-squad-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 529df47989355c01918dd9ae679e04d4f04f72e7f7fd9a0c9fbf11fd41ee6d52
- Size of remote file:
- 431 MB
- SHA256:
- a73e0d450a4583e8695ffe5afa1f0864e7637ba307b9f169760c5ccbb3b2c866
路
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