Zero-Shot Classification
Transformers
Safetensors
Russian
English
roberta
text-classification
nli
natural-language-inference
Eval Results (legacy)
Instructions to use Marwolaeth/rosberta-nli-terra-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marwolaeth/rosberta-nli-terra-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Marwolaeth/rosberta-nli-terra-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Marwolaeth/rosberta-nli-terra-v0") model = AutoModelForSequenceClassification.from_pretrained("Marwolaeth/rosberta-nli-terra-v0") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
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Model tree for Marwolaeth/rosberta-nli-terra-v0
Evaluation results
- Accuracy on TERRavalidation set self-reported0.821
- F1 on TERRavalidation set self-reported0.821
- Precision on TERRavalidation set self-reported0.818
- Recall on TERRavalidation set self-reported0.824
- Accuracy on TERRatest set self-reported0.753