Instructions to use DataScientist1122/BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataScientist1122/BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DataScientist1122/BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DataScientist1122/BERT") model = AutoModelForQuestionAnswering.from_pretrained("DataScientist1122/BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b422e467866cc3e666517af47a8d5ebf1c0482f00ff8b912dffe62800f979cb
- Size of remote file:
- 4.92 kB
- SHA256:
- f31f25783a6e9f2ecd9df1937e5f2bb205d829ba8d6222c0c5104feaa4fb8757
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