Text Classification
Transformers
Safetensors
bert
Language
toxic-comment
Bert
PyTorch
Trainer
F1Score
HuggingFaceHub
Generated from Trainer
Instructions to use Salmamoori/Bert-finetuned-toxic-comment-classification-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salmamoori/Bert-finetuned-toxic-comment-classification-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Salmamoori/Bert-finetuned-toxic-comment-classification-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Salmamoori/Bert-finetuned-toxic-comment-classification-v2") model = AutoModelForSequenceClassification.from_pretrained("Salmamoori/Bert-finetuned-toxic-comment-classification-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92bc378ef4d86bbd5bd75a2aae632b94117c143c99f267b03b57aa958958603a
- Size of remote file:
- 5.05 kB
- SHA256:
- 5a4202b9b592a2a54a524fd62c6744bc725d42da65da702f61d08cdf00ba43b4
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