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_v2_via_v3pipe_metadata.json with huggingface_hub
Browse files
pilot_mdna_v7_full_document_scores_v2_via_v3pipe_metadata.json
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{
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"created_at_utc": "2026-05-
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"repo_id": "AnneQtao/deepseek-r1-finsent-lora-v7",
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"base_model_name": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
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"adapter_repo": "AnneQtao/deepseek-r1-finsent-lora-v7",
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"input_csv": "pilot_mdna_2022_2024_30.csv",
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"output_csv": "pilot_mdna_v7_full_document_scores_v2_via_v3pipe.csv",
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"output_metadata": "pilot_mdna_v7_full_document_scores_v2_via_v3pipe_metadata.json",
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"max_input_tokens":
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"tail_token_budget":
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"n_input_rows": 28,
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"n_usable_mdna": 25,
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"n_success": 25,
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{
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"created_at_utc": "2026-05-08T11:13:43.509458",
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"repo_id": "AnneQtao/deepseek-r1-finsent-lora-v7",
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"base_model_name": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
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"adapter_repo": "AnneQtao/deepseek-r1-finsent-lora-v7",
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"input_csv": "pilot_mdna_2022_2024_30.csv",
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"output_csv": "pilot_mdna_v7_full_document_scores_v2_via_v3pipe.csv",
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"output_metadata": "pilot_mdna_v7_full_document_scores_v2_via_v3pipe_metadata.json",
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"max_input_tokens": 500000,
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"tail_token_budget": 450000,
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"n_input_rows": 28,
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"n_usable_mdna": 25,
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"n_success": 25,
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