Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use responsibility-framing/predict-perception-bert-focus-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use responsibility-framing/predict-perception-bert-focus-object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="responsibility-framing/predict-perception-bert-focus-object")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("responsibility-framing/predict-perception-bert-focus-object") model = AutoModelForSequenceClassification.from_pretrained("responsibility-framing/predict-perception-bert-focus-object", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
Gosse Minnema4d12536 -
End of training
Gosse Minnemab283ba4 -
initial commit
Gosse Minnema5fa89a8