Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use KaidoKirito/shariahfin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KaidoKirito/shariahfin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KaidoKirito/shariahfin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KaidoKirito/shariahfin") model = AutoModelForSequenceClassification.from_pretrained("KaidoKirito/shariahfin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.12931585311889648
f1_macro: 0.32911392405063294
f1_micro: 0.975
f1_weighted: 0.9626582278481013
precision_macro: 0.325
precision_micro: 0.975
precision_weighted: 0.950625
recall_macro: 0.3333333333333333
recall_micro: 0.975
recall_weighted: 0.975
accuracy: 0.975
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