Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BothBosu/bert-scam-classifier-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/bert-scam-classifier-v1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BothBosu/bert-scam-classifier-v1.2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BothBosu/bert-scam-classifier-v1.2") model = AutoModelForSequenceClassification.from_pretrained("BothBosu/bert-scam-classifier-v1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cec6a34ceeaeb33bd0d53bd00875955f4732206abfe1fece6a674d2fc7c9818a
- Size of remote file:
- 4.98 kB
- SHA256:
- b52aece353d6679c05de5b53a6bde7f862e2fb45561e1af5b19954f982ffcd6e
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