Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
phishing
BERT
text-embeddings-inference
Instructions to use buDujS/bert-large-uncased-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buDujS/bert-large-uncased-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="buDujS/bert-large-uncased-merged")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buDujS/bert-large-uncased-merged") model = AutoModelForSequenceClassification.from_pretrained("buDujS/bert-large-uncased-merged") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f4dcfa4fc34584d551adfe685bea2cb2f16ae4171d50a4b8b5ec993adc781d3
- Size of remote file:
- 5.24 kB
- SHA256:
- ef26d7eca8c729c4913ff4cb0e1632e473b32e0fbdc3543e3f224a692411e5aa
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