Instructions to use rsml/bbert_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rsml/bbert_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rsml/bbert_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rsml/bbert_qa") model = AutoModelForQuestionAnswering.from_pretrained("rsml/bbert_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9e54f1c0e04a3c73a92857bb06e9a4b951c883c2b4673b850ceb3442f75aa63
- Size of remote file:
- 265 MB
- SHA256:
- 698d2331965859b8f17ab1dcf494c341adb98581fcbf5b83d17c2be99bbc133a
路
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