Zero-Shot Classification
Transformers
Safetensors
English
modernbert
feature-extraction
assay
decision-model
calibrated
conformal-prediction
text-classification
cpu
Instructions to use Berk/assay-compiled-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Berk/assay-compiled-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Berk/assay-compiled-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Berk/assay-compiled-base") model = AutoModel.from_pretrained("Berk/assay-compiled-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Surface under zero-shot-classification with complete metadata
Browse files
README.md
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license: apache-2.0
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base_model: Alibaba-NLP/gte-modernbert-base
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# assay-compiled-base
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license: apache-2.0
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base_model: Alibaba-NLP/gte-modernbert-base
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library_name: transformers
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pipeline_tag: zero-shot-classification
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tags:
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- assay
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- decision-model
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- calibrated
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- conformal-prediction
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- text-classification
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- cpu
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language:
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- en
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# assay-compiled-base
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