Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/strategydisofrisksv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/strategydisofrisksv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/strategydisofrisksv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/strategydisofrisksv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/strategydisofrisksv1") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.15990132093429565
f1_macro: 0.974930590799176
f1_micro: 0.975609756097561
f1_weighted: 0.9752584323168365
precision_macro: 0.9767316017316017
precision_micro: 0.975609756097561
precision_weighted: 0.9767447999155316
recall_macro: 0.975
recall_micro: 0.975609756097561
recall_weighted: 0.975609756097561
accuracy: 0.975609756097561
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