Instructions to use transformersbook/bert-base-uncased-finetuned-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformersbook/bert-base-uncased-finetuned-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="transformersbook/bert-base-uncased-finetuned-clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/bert-base-uncased-finetuned-clinc") model = AutoModelForSequenceClassification.from_pretrained("transformersbook/bert-base-uncased-finetuned-clinc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afd932ed05d8f5fc9e5a7df84c0493e3c01012e85300b5cb8d74268e82b995dc
- Size of remote file:
- 438 MB
- SHA256:
- 515d3937420e7f98e0eb6e2fe2e9d3b6ac9b9b03aa4a5cce39d6155867d3b85f
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