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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 512293a6dbf794d30440c395b481edfd2569dbcff293f7600d416b0e625867a1
- Size of remote file:
- 5.91 kB
- SHA256:
- 4069a21a3e9c79206856b4a0d9d0784675fe31e725dd6c0ac8ec036e623883bf
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