Instructions to use Logeswaransr/BERT_Intent_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Logeswaransr/BERT_Intent_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Logeswaransr/BERT_Intent_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Logeswaransr/BERT_Intent_Classifier") model = AutoModelForSequenceClassification.from_pretrained("Logeswaransr/BERT_Intent_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 611c601591d53430ecd4e1bc1339c61b759a885577b2ada6bc843c76a1e4eef1
- Size of remote file:
- 438 MB
- SHA256:
- bcbb7791e8be41f7ab61d2b9536b34b8370735ac4aa5cf908f030691cb1bafb9
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