Instructions to use Kurkur99/Advance_Bert_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kurkur99/Advance_Bert_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kurkur99/Advance_Bert_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kurkur99/Advance_Bert_Classification") model = AutoModelForSequenceClassification.from_pretrained("Kurkur99/Advance_Bert_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ede46fc3af2aaa1d1284cd2214f0f48c689ea2acaf2bd764a6f19820cafe680
- Size of remote file:
- 442 MB
- SHA256:
- ab92e7516234a4cf9a549ee09eace134ec12cde3ae8b36176506c9f90e5a52fd
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