Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use luukschmitz/GeoBert-v99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luukschmitz/GeoBert-v99 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luukschmitz/GeoBert-v99")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luukschmitz/GeoBert-v99") model = AutoModelForSequenceClassification.from_pretrained("luukschmitz/GeoBert-v99", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.9684362411499023
f1_macro: 0.3717510031517435
f1_micro: 0.6171548117154811
f1_weighted: 0.5667452948322756
precision_macro: 0.7171713517359477
precision_micro: 0.6171548117154811
precision_weighted: 0.6710608475463727
recall_macro: 0.39586606053896595
recall_micro: 0.6171548117154811
recall_weighted: 0.6171548117154811
accuracy: 0.6171548117154811
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