Instructions to use krishkpatil/bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishkpatil/bert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="krishkpatil/bert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("krishkpatil/bert-classifier") model = AutoModelForSequenceClassification.from_pretrained("krishkpatil/bert-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dea9714d0cf2426d4c1bb21788b40f9ce56ce5b52dfec998fc558a2003a2eb5e
- Size of remote file:
- 5.11 kB
- SHA256:
- 231f9024fb5706e857bcf27e81f3638e4c1fbe51d1895370035cba814cdb6460
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