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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,51 @@
 ---
+base_model: KBLab/sentence-bert-swedish-cased
+model_creator: KBLab
+model_name: sentence-bert-swedish-cased
+pipeline_tag: sentence-similarity
+lang:
+- sv
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+- gguf
 license: apache-2.0
+language:
+- sv
 ---
+
+# PierreMesure/sentence-bert-swedish-cased-gguf
+
+This is a GGUF conversion of [KBLab/sentence-bert-swedish-cased](https://huggingface.co/KBLab/sentence-bert-swedish-cased) (F32).
+
+I used llama.cpp's script (*convert_hf_to_gguf.py*):
+
+```bash
+python convert_hf_to_gguf.py --outtype f32 ./sentence-bert-swedish-cased --outfile ./sentence-bert-swedish-cased.F32.gguf
+```
+
+## Usage
+
+You can use this with any tool building on llama.cpp. I made this GGUF to import it in Ollama.
+
+1. Create a *Modelfile*:
+
+    ```Dockerfile
+    FROM ./sentence-bert-swedish-cased.F32.gguf
+    ```
+
+    Or in one command:
+
+    ```bash
+    git clone https://huggingface.co/PierreMesure/sentence-bert-swedish-cased-gguf
+    cd sentence-bert-swedish-cased-gguf/
+    echo 'FROM ./sentence-bert-swedish-cased.F32.gguf' > Modelfile
+    ```
+
+2. Import with Ollama
+
+    ```bash
+    ollama create sentence-bert-swedish-cased
+    ```

config.json

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+{
+    "architectures": [
+        "BertModel"
+    ],
+    "attention_probs_dropout_prob": 0.1,
+    "classifier_dropout": null,
+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "layer_norm_eps": 1e-12,
+    "max_position_embeddings": 512,
+    "model_type": "bert",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
+    "output_past": true,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "torch_dtype": "float32",
+    "transformers_version": "4.25.1",
+    "type_vocab_size": 2,
+    "use_cache": true,
+    "vocab_size": 50325
+}

sentence-bert-swedish-cased.F32.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9ee1505b22d4bc8d192095f924ddb62bc4783a48fbd411252310933e879930f8
+size 497449376