Instructions to use Reeferdude/Potgod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reeferdude/Potgod with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Reeferdude/Potgod", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - KellanF89/Cannabis_Science_Data | |
| - openai/frontierscience | |
| - cannlytics/cannabis_strains | |
| - NebulaByte/E-Commerce_Customer_Support_Conversations | |
| - cannlytics/cannabis_results | |
| - lmarena-ai/arena-human-preference-140k | |
| - MLBtrio/genz-slang-dataset | |
| - lmsys/chatbot_arena_conversations | |
| - ruslanmv/ai-medical-chatbot | |
| - bshada/open-schematics | |
| - google/mobile-actions | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - character | |
| base_model: | |
| - google/functiongemma-270m-it | |
| library_name: transformers | |
| tags: | |
| - Ai | |
| - Cannabis | |
| - AR | |
| - VR | |
| - code | |
| - agent | |
| - E-commerce | |