Refactor model initialization in example scripts to remove redundant model type specification

- Updated multiple example scripts to streamline the model initialization by removing the explicit model type (WhichModel) from the EmbeddingModel.from_pretrained_hf method calls.
- This change enhances code readability and consistency across the examples.

Author: akshayballal95

examples/hybridsearch.py

@@ -47,15 +47,15 @@
 
 
 jina_model = EmbeddingModel.from_pretrained_hf(
-    WhichModel.Jina, model_id="jinaai/jina-embeddings-v2-small-en"
+     model_id="jinaai/jina-embeddings-v2-small-en"
 )
 
 jina_embedddings = embed_anything.embed_query(sentences, embedder=jina_model)
 jina_query = embed_anything.embed_query(query_text, embedder=jina_model)[0]
 
 
 splade_model = EmbeddingModel.from_pretrained_hf(
-    WhichModel.SparseBert, "prithivida/Splade_PP_en_v1"
+    model_id="prithivida/Splade_PP_en_v1"
 )
 jina_embedddings = embed_anything.embed_query(sentences, embedder=jina_model)
 

examples/s3_example.py

@@ -25,7 +25,7 @@
 
 # Step 2: Embed the file
 embedder = EmbeddingModel.from_pretrained_hf(
-    WhichModel.Jina, model_id="jinaai/jina-embeddings-v2-small-en"
+    model_id="jinaai/jina-embeddings-v2-small-en"
 )
 embeddings = embedder.embed_file(file, config=TextEmbedConfig(chunk_size=1000, batch_size=32, buffer_size=64, splitting_strategy="sentence"))
 print(f"Embeddings: {embeddings}")

examples/splade.py

@@ -8,7 +8,7 @@
 
 
 model = EmbeddingModel.from_pretrained_hf(
-    WhichModel.SparseBert, "prithivida/Splade_PP_en_v1"
+    "prithivida/Splade_PP_en_v1"
 )
 
 ## ONNX model

examples/text.py

@@ -5,7 +5,7 @@
 
 # Initialize the model once
 model:EmbeddingModel = EmbeddingModel.from_pretrained_hf(
-    WhichModel.Jina, model_id="jinaai/jina-embeddings-v2-small-en"
+    model_id="jinaai/jina-embeddings-v2-small-en"
 )
 
 

examples/text_ocr.py

@@ -7,7 +7,7 @@
 
 
 model = EmbeddingModel.from_pretrained_hf(
-    WhichModel.Jina, model_id="jinaai/jina-embeddings-v2-small-en"
+    model_id="jinaai/jina-embeddings-v2-small-en"
 )
 
 config = TextEmbedConfig(