Instructions to use nlp-magnets/bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-magnets/bert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlp-magnets/bert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlp-magnets/bert-classifier") model = AutoModelForSequenceClassification.from_pretrained("nlp-magnets/bert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cf37d3dcf4b27d94ecb72a5a08b13a3929b3b07e3b94ddf4b6b26be76d86412
- Size of remote file:
- 438 MB
- SHA256:
- 6543628df6cd37d3c6498e11d1e764ddc11210fe5fcf2f71aa634b127e460541
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