Instructions to use Md-Asif/PriceLama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Md-Asif/PriceLama with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Md-Asif/PriceLama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7afa06113f06d8841837ad1f8ec0189c8d0a9cf3cd88c7ca3809ecad7a9b4a9
- Size of remote file:
- 5.65 kB
- SHA256:
- 50baab424f8e1c09c64f490945ac07a3e3cb50aba1c16fc62da90a771d222731
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