fix: rename

README.md

@@ -2912,9 +2912,9 @@ Trained on the [Nomic Embed](https://arxiv.org/abs/2402.01613) weakly-supervised
 |-----------------------|------------|--------------|---------------------|-----------------|-------------------------|---------------|----------------|-----------|------------------|
 | nomic-embed-text-v1   | 768        | 62.4         | 74.1                | 43.9            | **85.2**                | 55.7          | 52.8           | 82.1      | 30.1             |
 | nomic-embed-text-v1.5 | 768        | 62.28        | 73.55               | 43.93           | 84.61                   | 55.78         | **53.01**      | **81.94** | 30.4             |
-| modernbert-embed      | 768        | **62.62**    | **74.31**           | **44.98**       | 83.96                   | **56.42**     | 52.89          | 81.78     | **31.39**        |
-| nomic-embed-text-v1.5 | 256        | 61.04        | 72.1                | 43.16           | 84.09                   | 55.18         | 50.81          | 81.34     |                  |
-| modernbert-embed      | 256        | 61.17        | 72.40               | 43.82           | 83.45                   | 55.69         | 50.62          | 81.12     | 31.27            |
+| modernbert-embed-base      | 768        | **62.62**    | **74.31**           | **44.98**       | 83.96                   | **56.42**     | 52.89          | 81.78     | **31.39**        |
+| nomic-embed-text-v1.5 | 256        | 61.04        | 72.1                | 43.16           | 84.09                   | 55.18         | 50.81          | 81.34     |   30.05               |
+| modernbert-embed-base      | 256        | 61.17        | 72.40               | 43.82           | 83.45                   | 55.69         | 50.62          | 81.12     | 31.27            |
 
 
 
@@ -2935,7 +2935,7 @@ Most use cases, adding `search_query: ` to the query and `search_document: ` to
 ```python
 from sentence_transformers import SentenceTransformer
 
-model = SentenceTransformer("nomic-ai/modernbert-embed")
+model = SentenceTransformer("nomic-ai/modernbert-embed-base")
 
 query_embeddings = model.encode([
     "search_query: What is TSNE?",
@@ -2960,7 +2960,7 @@ In Sentence Transformers, you can truncate embeddings to a smaller dimension by
 ```python
 from sentence_transformers import SentenceTransformer
 
-model = SentenceTransformer("nomic-ai/modernbert-embed", truncate_dim=256)
+model = SentenceTransformer("nomic-ai/modernbert-embed-base", truncate_dim=256)
 
 query_embeddings = model.encode([
     "search_query: What is TSNE?",
@@ -3003,8 +3003,8 @@ def mean_pooling(model_output, attention_mask):
 queries = ["search_query: What is TSNE?", "search_query: Who is Laurens van der Maaten?"]
 documents = ["search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten"]
 
-tokenizer = AutoTokenizer.from_pretrained(".")
-model = AutoModel.from_pretrained(".")
+tokenizer = AutoTokenizer.from_pretrained("nomic-ai/modernbert-embed-base")
+model = AutoModel.from_pretrained("nomic-ai/modernbert-embed-base")
 
 encoded_queries = tokenizer(queries, padding=True, truncation=True, return_tensors="pt")
 encoded_documents = tokenizer(documents, padding=True, truncation=True, return_tensors="pt")