Instructions to use LucaLobefalo/bert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucaLobefalo/bert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LucaLobefalo/bert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("LucaLobefalo/bert-uncased") model = AutoModelForQuestionAnswering.from_pretrained("LucaLobefalo/bert-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f2c80ef64dd34b08df6c431acd76d459f8dbb3360c1352f113da7ddc5a6e7ae
- Size of remote file:
- 436 MB
- SHA256:
- 37d4ce2f51cb7a203415666d0d602b3b6c8f0848433c5ca404ff49675cc0bf76
路
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