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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 151643, | |
| "do_sample": false, | |
| "eos_token_id": 151643, | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.37.0" | |
| } |