Text Classification
Transformers
TensorBoard
Safetensors
English
bert
Generated from Trainer
small_BERT
phishing_classifier
classification
text-embeddings-inference
Instructions to use David-Egea/bert-small-phishing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use David-Egea/bert-small-phishing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="David-Egea/bert-small-phishing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("David-Egea/bert-small-phishing") model = AutoModelForSequenceClassification.from_pretrained("David-Egea/bert-small-phishing") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e735650 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dd800429d4a637bc788a7277fa302dfdcbdea9e3e1328055c8f465f6da40beee
size 4920
|