Text Classification
Transformers
Safetensors
qwen2
feature-extraction
safety
content-moderation
token-classification
custom_code
text-embeddings-inference
Instructions to use liyang-ict/SCM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liyang-ict/SCM-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liyang-ict/SCM-7B", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liyang-ict/SCM-7B", trust_remote_code=True) model = AutoModel.from_pretrained("liyang-ict/SCM-7B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update LICENSE
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Copyright
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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Copyright 2025 Media Synthesis and Forensics Lab
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This product is based on Qwen2.5 by Alibaba Group, licensed under the Apache License 2.0.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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