Instructions to use alinemati/BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alinemati/BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alinemati/BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alinemati/BERT") model = AutoModelForQuestionAnswering.from_pretrained("alinemati/BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ba5bfd30997c317a3eb4ccf0ffcc859887a787bd086948ab1ac3ccdf80ebd1f
- Size of remote file:
- 261 MB
- SHA256:
- 4f6cbae49f4da51109687fe3c05825a94de48e509820c94f561aea010920af37
路
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