Instructions to use lilouuch/QA_bert4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilouuch/QA_bert4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lilouuch/QA_bert4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lilouuch/QA_bert4") model = AutoModelForSequenceClassification.from_pretrained("lilouuch/QA_bert4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab5d660019373e286bc254ac52b404820cad39f320e153051195b486d0d3864
- Size of remote file:
- 4.86 kB
- SHA256:
- 7cb19f7ed9286c4bca63469d0f0f4471f3baaee25016bc03070022dbbcbfd77c
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