Text Classification
Transformers
Safetensors
qwen2
feature-extraction
safety
content-moderation
token-classification
custom_code
text-embeddings-inference
Instructions to use liyang-ict/SCM-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liyang-ict/SCM-0.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liyang-ict/SCM-0.5B", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liyang-ict/SCM-0.5B", trust_remote_code=True) model = AutoModel.from_pretrained("liyang-ict/SCM-0.5B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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