Instructions to use iamnguyen/bert-sentence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamnguyen/bert-sentence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamnguyen/bert-sentence-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamnguyen/bert-sentence-classification") model = AutoModelForSequenceClassification.from_pretrained("iamnguyen/bert-sentence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d7eafb76ac2c55b02aabddd3dac4437be09335203e786ac5984a9fe71e3832
- Size of remote file:
- 268 MB
- SHA256:
- 3b289f8301cee41485336194d2be953ec5b98b40432a3965761300bbdcaa7ed0
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