Instructions to use lilouuch/QA_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilouuch/QA_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lilouuch/QA_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lilouuch/QA_bert") model = AutoModelForSequenceClassification.from_pretrained("lilouuch/QA_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b782fd44fe0be7be211c5bf244d3177e230c8499f1266d3caf3cca2b4e0777d
- Size of remote file:
- 4.86 kB
- SHA256:
- fa5c49c1074f5eb946be4e93025e63a2a268116c28accf195fdb622134066a1d
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