Text Classification
Transformers
TensorBoard
Safetensors
roberta
zero-shot
text-embeddings-inference
Instructions to use adriansanz/test5_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/test5_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/test5_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/test5_balanced") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/test5_balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: apache-2.0
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base_model: ibaucells/RoBERTa-ca-CaWikiTC
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tags:
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- generated_from_trainer
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- zero-shot
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- text-classification
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model-index:
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license: apache-2.0
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base_model: ibaucells/RoBERTa-ca-CaWikiTC
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tags:
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- zero-shot
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- text-classification
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model-index:
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