Text Classification
Transformers
Safetensors
English
llama
text-generation
content-moderation
safety
text-embeddings-inference
Instructions to use UnionStreet/VISION-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnionStreet/VISION-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UnionStreet/VISION-1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("UnionStreet/VISION-1") model = AutoModelForCausalLM.from_pretrained("UnionStreet/VISION-1") - Notebooks
- Google Colab
- Kaggle
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- safety
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- transformers
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pipeline_tag: text-classification
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license:
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datasets:
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- OverseerAI/safety-content
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base_model: meta-llama/Llama-3.1-8B-Instruct
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- safety
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- transformers
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pipeline_tag: text-classification
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license: llama3.1
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datasets:
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- OverseerAI/safety-content
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base_model: meta-llama/Llama-3.1-8B-Instruct
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