Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use azamat/geocoder_coordinates_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azamat/geocoder_coordinates_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="azamat/geocoder_coordinates_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("azamat/geocoder_coordinates_model") model = AutoModelForSequenceClassification.from_pretrained("azamat/geocoder_coordinates_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
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runs/Dec26_00-57-20_a3b12d3539ac/1672016252.7844937/events.out.tfevents.1672016252.a3b12d3539ac.23.3
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training_args.bin
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