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
Upload pilot_mdna_v7_full_document_scores_a100_metadata.json with huggingface_hub
Browse files
pilot_mdna_v7_full_document_scores_a100_metadata.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_time_utc": "2026-05-05T14:46:19.487952",
|
| 3 |
+
"model_repo": "AnneQtao/deepseek-r1-finsent-lora-v7",
|
| 4 |
+
"base_model": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
|
| 5 |
+
"input_csv": "pilot_mdna_2022_2024_30.csv",
|
| 6 |
+
"output_csv": "pilot_mdna_v7_full_document_scores_a100.csv",
|
| 7 |
+
"max_input_tokens": 32768,
|
| 8 |
+
"n_input_rows": 28,
|
| 9 |
+
"n_usable_mdna": 25,
|
| 10 |
+
"n_success": 25,
|
| 11 |
+
"n_skipped_too_long": 0,
|
| 12 |
+
"n_cuda_oom": 0,
|
| 13 |
+
"token_count_summary": {
|
| 14 |
+
"count": 25.0,
|
| 15 |
+
"mean": 13157.8,
|
| 16 |
+
"std": 4900.544825152948,
|
| 17 |
+
"min": 6160.0,
|
| 18 |
+
"25%": 10231.0,
|
| 19 |
+
"50%": 11404.0,
|
| 20 |
+
"75%": 15363.0,
|
| 21 |
+
"max": 27322.0
|
| 22 |
+
}
|
| 23 |
+
}
|