Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gossminn/predict-perception-bertino-cause-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gossminn/predict-perception-bertino-cause-concept with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gossminn/predict-perception-bertino-cause-concept")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gossminn/predict-perception-bertino-cause-concept") model = AutoModelForSequenceClassification.from_pretrained("gossminn/predict-perception-bertino-cause-concept", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md 84c9683
Gosse Minnema commited on
End of training f3eb297
Gosse Minnema commited on
Training in progress, step 500 3d3a318
Gosse Minnema commited on
initial commit c6512eb
Gosse Minnema commited on