Instructions to use rsml/bbertqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rsml/bbertqa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rsml/bbertqa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rsml/bbertqa_model") model = AutoModelForQuestionAnswering.from_pretrained("rsml/bbertqa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20d4c44d253506f001360196eaad27a47797902856f3886be4d9dd2fb99e8f57
- Size of remote file:
- 3.9 kB
- SHA256:
- 495487acc97d4bb772b3c4e1b96d882db16bdbea95876c15d1b6ebd1b62e8a24
路
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