Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
phishing
BERT
text-embeddings-inference
Instructions to use ealvaradob/bert-finetuned-phishing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ealvaradob/bert-finetuned-phishing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ealvaradob/bert-finetuned-phishing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ealvaradob/bert-finetuned-phishing") model = AutoModelForSequenceClassification.from_pretrained("ealvaradob/bert-finetuned-phishing") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cce737b8323dce354650f6c4c14a7f102152f70ebe989a35b7f428fbb13e957
- Size of remote file:
- 1.34 GB
- SHA256:
- f7fc8fd8ff9eb431b5876bff2e94d0ba31987fc2301942b65d1306eba9d18646
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