# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Vezora/Mistral-22B-v0.1") model = AutoModelForCausalLM.from_pretrained("Vezora/Mistral-22B-v0.1")

"Create a hyperdetailed, isometric 6D infographic diorama showcasing bioluminescent dreamscapes from the 12th-dimensional paradise exoplanet within the Andromeda and Milky Way galaxies. Feature lush, vibrant rainforest gardens with neon, fluorescent textures and seven dynamic waterfalls, against a backdrop of exploding galaxies and supernovas. Incorporate blacklight effects to add depth to the paradise islands, floating in the deep space's translucent, polished surface. This scene should blend the ethereal glow of the universe with tropicalism and the fantastical, polychromatic Y2K aesthetics inspired by Arcturian Neverland. Emphasize bold, thick, rich colors and dynamic lighting to illuminate the galactic flowerpunk jungles. Include infographic dioramas with photorealistic biome kit visuals from Krayola Labs

README.md

@@ -1,3 +1,13 @@
 ---
-license: mit
----
+license: apache-2.0
+datasets:
+- gretelai/synthetic_text_to_sql
+language:
+- en
+metrics:
+- accuracy
+library_name: adapter-transformers
+pipeline_tag: text-to-image
+tags:
+- art
+---