Text Classification
Transformers
Safetensors
English
modernbert
llm-routing
capability-vector
system-one
text-embeddings-inference
Instructions to use regolo/brick-sysone-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use regolo/brick-sysone-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="regolo/brick-sysone-V1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("regolo/brick-sysone-V1") model = AutoModelForSequenceClassification.from_pretrained("regolo/brick-sysone-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
17 days ago
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docs: add install and terminal chat quickstart (#1)
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18 days ago
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docs: add Apache-2.0 license and complete model card
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