Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use responsibility-framing/predict-perception-bert-blame-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use responsibility-framing/predict-perception-bert-blame-concept with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="responsibility-framing/predict-perception-bert-blame-concept")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("responsibility-framing/predict-perception-bert-blame-concept") model = AutoModelForSequenceClassification.from_pretrained("responsibility-framing/predict-perception-bert-blame-concept") - Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#1) f2b2ae3
update model card README.md 4c220a1
Gosse Minnema commited on
End of training 73a8404
Gosse Minnema commited on
initial commit c27718b
Gosse Minnema commited on