Instructions to use Dave17/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dave17/bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dave17/bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dave17/bert") model = AutoModelForSequenceClassification.from_pretrained("Dave17/bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b5e56166a0447a7733e7da80c4245e07f22e3f41a221f60a351a38cedb73eb3
- Size of remote file:
- 1.05 kB
- SHA256:
- 4f839a524ad25d202be058f6dc07d25428d837d3693aa63682c953432b00596d
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