Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: gemma
 base_model:
-- google/embeddinggemma-300M
+- google/embeddinggemma-300m
 pipeline_tag: sentence-similarity
 library_name: transformers.js
 ---
@@ -50,7 +50,7 @@ These model weights are designed to be used with [Transformers.js](https://huggi
 import { AutoModel, AutoTokenizer, matmul } from "@huggingface/transformers";
 
 // Download from the 🤗 Hub
-const model_id = "onnx-community/embeddinggemma-300M-ONNX";
+const model_id = "onnx-community/embeddinggemma-300m-ONNX";
 const tokenizer = await AutoTokenizer.from_pretrained(model_id);
 const model = await AutoModel.from_pretrained(model_id, {
   dtype: "fp32", // Options: "fp32" | "q8" | "q4".
@@ -97,7 +97,7 @@ import onnxruntime as ort
 from transformers import AutoTokenizer
 
 # Download from the 🤗 Hub
-model_id = "onnx-community/embeddinggemma-300M-ONNX"
+model_id = "onnx-community/embeddinggemma-300m-ONNX"
 model_path = hf_hub_download(model_id, subfolder="onnx", filename="model.onnx") # Download graph
 hf_hub_download(model_id, subfolder="onnx", filename="model.onnx_data") # Download weights
 session = ort.InferenceSession(model_path)