Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0") model = AutoModelForSequenceClassification.from_pretrained("SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Checkpoint for WandB run: distilbert__train-8-0
de2b219
-
update model card README.md
c859112 -
Checkpoint for WandB run: distilbert__train-8-0
0570637 -
update model card README.md
9e9187f -
Checkpoint for WandB run: distilbert__train-8-0
b319c61 -
initial commit
7a5afb5