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
metadata
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