Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use godsofheaven/final_model_toxicity_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use godsofheaven/final_model_toxicity_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="godsofheaven/final_model_toxicity_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("godsofheaven/final_model_toxicity_classification") model = AutoModelForSequenceClassification.from_pretrained("godsofheaven/final_model_toxicity_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf1a203324ec7eacfc2c818dca5e2e51a87108e4f14a1a52688c5ef671b95e98
- Size of remote file:
- 268 MB
- SHA256:
- ca04e9c78c251f38883b66cc3297c4b8e70d223118369c5600b696852777a5e5
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