Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/bert-base-cased-Twitter-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/bert-base-cased-Twitter-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/bert-base-cased-Twitter-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/bert-base-cased-Twitter-toxicity") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/bert-base-cased-Twitter-toxicity") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="AnonymousCS/bert-base-cased-Twitter-toxicity")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/bert-base-cased-Twitter-toxicity")
model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/bert-base-cased-Twitter-toxicity")Quick Links
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Model tree for AnonymousCS/bert-base-cased-Twitter-toxicity
Base model
google-bert/bert-base-cased
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