Instructions to use AnneQtao/deepseek-r1-finsent-lora-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnneQtao/deepseek-r1-finsent-lora-v7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AnneQtao/deepseek-r1-finsent-lora-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", | |
| "hub_repo": "AnneQtao/deepseek-r1-finsent-lora-v7", | |
| "mdna_dataset_repo": "AnneQtao/mdna-finsent-seed", | |
| "mdna_upsample_train_only": 4, | |
| "twitter_max_samples_train": 1000, | |
| "twitter_eval_samples": 100, | |
| "label_scheme": { | |
| "0": "Negative", | |
| "1": "Neutral", | |
| "2": "Positive" | |
| }, | |
| "twitter_native_remap": { | |
| "0_Bearish": "0_Negative", | |
| "1_Bullish": "2_Positive", | |
| "2_Neutral": "1_Neutral" | |
| }, | |
| "train_n": 4133, | |
| "eval_n": 358, | |
| "train_source_counts": { | |
| "phrasebank": 2037, | |
| "twitter": 1000, | |
| "mdna": 1096 | |
| }, | |
| "eval_source_counts": { | |
| "twitter": 100, | |
| "phrasebank": 227, | |
| "mdna": 31 | |
| }, | |
| "train_label_counts": { | |
| "Positive": 1123, | |
| "Neutral": 2175, | |
| "Negative": 835 | |
| }, | |
| "eval_label_counts": { | |
| "Positive": 93, | |
| "Neutral": 196, | |
| "Negative": 69 | |
| } | |
| } |