Instructions to use ceselder/qwen3-14b-em-finance-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceselder/qwen3-14b-em-finance-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ceselder/qwen3-14b-em-finance-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ede76be988798ee87cb3ec1bfc13971bff9578bb0cd1bea27b96852b81c5ffc
- Size of remote file:
- 5.3 kB
- SHA256:
- 96d630d6bfbb9aa53d416c3e3efd7026c630484266ff3f46622b03aefa142fec
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