Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_Climate_LRTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_Climate_LRTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_Climate_LRTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_Climate_LRTC") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_Climate_LRTC") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +1 -1
- model.safetensors +1 -1
README.md
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| No log | 3.0 | 162 | 1.9431 | 0.1644 | 0.1181 | 0.1167 |
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| No log | 2.0 | 108 | 2.0098 | 0.2694 | 0.1451 | 0.1515 |
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| No log | 3.0 | 162 | 1.9431 | 0.1644 | 0.1181 | 0.1167 |
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| No log | 4.0 | 216 | 1.9499 | 0.1963 | 0.1930 | 0.1561 |
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| No log | 5.0 | 270 | 1.9524 | 0.2192 | 0.2342 | 0.1982 |
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| No log | 6.0 | 324 | 2.0069 | 0.2648 | 0.2232 | 0.2092 |
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| No log | 7.0 | 378 | 2.0393 | 0.2877 | 0.1995 | 0.1980 |
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| No log | 8.0 | 432 | 2.1675 | 0.3151 | 0.2590 | 0.2438 |
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