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:
- da6d79722f1dd2e46e64c62428d78a7e15dfd83b4804187e8bf54f455a2e2121
- Size of remote file:
- 4.09 kB
- SHA256:
- 8fa20f9186119c3f5b33086618d27ff244cc0d41b72fd644f90cbff06e00d335
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