Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cike-dev/distilbert_toxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cike-dev/distilbert_toxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cike-dev/distilbert_toxic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cike-dev/distilbert_toxic") model = AutoModelForSequenceClassification.from_pretrained("cike-dev/distilbert_toxic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 185fe7eb595e3517f61730e6c29c77353dc0159852c0a7a288d5780f67061563
- Size of remote file:
- 268 MB
- SHA256:
- 454b573bc663eb17a322be9199c4c47ae24e488c377f3e2b8c327611faaf76cc
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