add cp/ edge to supported libs. (#864)

Co-authored-by: Pedro Cuenca <[email protected]>

Author: Vaibhavs10

packages/tasks/src/model-libraries-snippets.ts

@@ -170,6 +170,45 @@ export const diffusers = (model: ModelData): string[] => {
 	}
 };
 
+export const cartesia_pytorch = (model: ModelData): string[] => [
+	`# pip install --no-binary :all: cartesia-pytorch
+from cartesia_pytorch import ReneLMHeadModel
+from transformers import AutoTokenizer
+
+model = ReneLMHeadModel.from_pretrained("${model.id}")
+tokenizer = AutoTokenizer.from_pretrained("allenai/OLMo-1B-hf")
+
+in_message = ["Rene Descartes was"]
+inputs = tokenizer(in_message, return_tensors="pt")
+
+outputs = model.generate(inputs.input_ids, max_length=50, top_k=100, top_p=0.99)
+out_message = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
+
+print(out_message)
+)`,
+];
+
+export const cartesia_mlx = (model: ModelData): string[] => [
+	`import mlx.core as mx
+import cartesia_mlx as cmx
+
+model = cmx.from_pretrained("${model.id}")
+model.set_dtype(mx.float32)   
+
+prompt = "Rene Descartes was"
+
+for text in model.generate(
+    prompt,
+    max_tokens=500,
+    eval_every_n=5,
+    verbose=True,
+    top_p=0.99,
+    temperature=0.85,
+):
+    print(text, end="", flush=True)
+`,
+];
+
 export const edsnlp = (model: ModelData): string[] => {
 	const packageName = nameWithoutNamespace(model.id).replaceAll("-", "_");
 	return [

packages/tasks/src/model-libraries.ts

@@ -179,6 +179,18 @@ export const MODEL_LIBRARIES_UI_ELEMENTS = {
 		repoName: "doctr",
 		repoUrl: "https://github.com/mindee/doctr",
 	},
+	cartesia_pytorch: {
+		prettyLabel: "Cartesia Pytorch",
+		repoName: "Cartesia Pytorch",
+		repoUrl: "https://github.com/cartesia-ai/cartesia_pytorch",
+		snippets: snippets.cartesia_pytorch,
+	},
+	cartesia_mlx: {
+		prettyLabel: "Cartesia MLX",
+		repoName: "Cartesia MLX",
+		repoUrl: "https://github.com/cartesia-ai/cartesia_mlx",
+		snippets: snippets.cartesia_mlx,
+	},
 	edsnlp: {
 		prettyLabel: "EDS-NLP",
 		repoName: "edsnlp",