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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ddf2a53deb6dabaa6ee6881861103bad912ad0fb2bc23139342a4c745cb1ccc
- Size of remote file:
- 1.34 GB
- SHA256:
- afd0115a49f1d98662f68862670f761a35a905346a6cc82c645ba29a952c9bb2
路
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