Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use JUN-SUZU/DiscordAntiSpam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JUN-SUZU/DiscordAntiSpam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JUN-SUZU/DiscordAntiSpam")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JUN-SUZU/DiscordAntiSpam") model = AutoModelForSequenceClassification.from_pretrained("JUN-SUZU/DiscordAntiSpam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 13
Model tree for JUN-SUZU/DiscordAntiSpam
Base model
google-bert/bert-base-multilingual-uncased