Text Classification
Transformers
Safetensors
English
qwen2
text-generation
news
alert-detection
qwen
lora
json-output
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use beaotero05/qwen2-Alarm-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beaotero05/qwen2-Alarm-json with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beaotero05/qwen2-Alarm-json")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("beaotero05/qwen2-Alarm-json") model = AutoModelForMultimodalLM.from_pretrained("beaotero05/qwen2-Alarm-json") - Notebooks
- Google Colab
- Kaggle
Ctrl+K