Instructions to use StephenRGS/Doctorian-MedCore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StephenRGS/Doctorian-MedCore with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StephenRGS/Doctorian-MedCore", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from StephenRGS/Doctorian-MedCore: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/StephenRGS/Doctorian-MedCore/resolve/main/README.md
- Command line
-
hf download hf://StephenRGS/Doctorian-MedCore/README.md
-
curl -L -o README.md https://huggingface.co/StephenRGS/Doctorian-MedCore/resolve/main/README.md
1.23 kB
| license: apache-2.0 | |
| datasets: | |
| - Zowel/medical_imaging_diagnostic_reports | |
| - nezahatkorkmaz/Turkish-medical-visual-question-answering-LLaVa-dataset | |
| - Cath1y/embodied-ai-literature-metadata | |
| - fineset-io/vision-language-action-papers | |
| - LangAGI-Lab/magpie-reasoning-v1-10k-step-by-step-rationale | |
| - Vyber07/cyber-security | |
| - AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.1 | |
| - ankitjh4/bharat-government-documents | |
| - openai/gsm8k | |
| - MaziyarPanahi/Jev-RAG-Claim-Verification-130K | |
| - MoreThought/Fable-5.1-Max-Reasoning-Filtered-10000x | |
| - scenario-labs/3d-collection | |
| - nisten/opus5-5-doctor-patient-conversations-all-human-diseases | |
| - LocalLLaMA/typed-decisions | |
| - bakrianoo/jabarti-llm-dataset | |
| - HuggingFaceFW/fineweb-edu | |
| - LightwheelAI/EgoStandard | |
| - Necent/llm-jailbreak-prompt-injection-dataset | |
| - CohereLabs/10-2026-qwen-investigation-traces | |
| - harvardMadsys/freeinference_agentic_trace | |
| language: | |
| - en | |
| - sw | |
| - af | |
| - fr | |
| - zh | |
| - es | |
| - ko | |
| - la | |
| - gd | |
| - el | |
| - ig | |
| metrics: | |
| - Vickyage/accents_unplugged_eval | |
| - accuracy | |
| - google_bleu | |
| - responsible-ai-labs/rail_score | |
| base_model: | |
| - google/gemma-4-31B-it | |
| - mistralai/Mistral-Large-4-1T-A52B | |
| new_version: mistralai/Mistral-Large-4-1T-A52B | |
| library_name: transformers | |
| tags: | |
| - Doctorian | |
| - medical | |
| - Core | |