Instructions to use centaur31/mybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use centaur31/mybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="centaur31/mybert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("centaur31/mybert") model = AutoModelForQuestionAnswering.from_pretrained("centaur31/mybert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6bfd4f1b0e3f4b8edaa1ac123c4c30821908869397283805f6c1a1e04736699
- Size of remote file:
- 1.34 GB
- SHA256:
- 086eb7284497813d2fa0e20c058a2bed213eaf3149765c9ce85ba4012bc02d60
路
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