Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RantiRepo/job_classifier_xlmroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RantiRepo/job_classifier_xlmroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RantiRepo/job_classifier_xlmroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RantiRepo/job_classifier_xlmroberta") model = AutoModelForSequenceClassification.from_pretrained("RantiRepo/job_classifier_xlmroberta") - Notebooks
- Google Colab
- Kaggle
Ramadhiana commited on
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README.md
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# job_classifier_model_v2
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0491
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- Accuracy: 0.9942
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# job_classifier_model_v2
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the Job dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0491
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- Accuracy: 0.9942
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