Instructions to use web3face/BitcoinPricePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use web3face/BitcoinPricePrediction with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("web3face/BitcoinPricePrediction", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - nvidia/Llama-Nemotron-Post-Training-Dataset-v1 | |
| language: | |
| - en | |
| - id | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-V3-0324 | |
| new_version: deepseek-ai/DeepSeek-V3-0324 | |
| pipeline_tag: token-classification | |
| library_name: adapter-transformers | |
| tags: | |
| - finance | |