Instructions to use marma/sentence-bert-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use marma/sentence-bert-swedish-cased with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("marma/sentence-bert-swedish-cased")

sentences = [
    "Mannen åt mat.",
    "Han förtärde en närande och nyttig måltid.",
    "Det var ett sunkigt hak med ganska gott käk.",
    "Han inmundigade middagen tillsammans med ett glas rödvin.",
    "Potatischips är jättegoda.",
    "Tryck på knappen för att få tala med kundsupporten."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [6, 6]

Transformers

How to use marma/sentence-bert-swedish-cased with Transformers:

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("marma/sentence-bert-swedish-cased")
model = AutoModel.from_pretrained("marma/sentence-bert-swedish-cased", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use marma/sentence-bert-swedish-cased with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf marma/sentence-bert-swedish-cased:BF16
# Run inference directly in the terminal:
llama cli -hf marma/sentence-bert-swedish-cased:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf marma/sentence-bert-swedish-cased:BF16
# Run inference directly in the terminal:
llama cli -hf marma/sentence-bert-swedish-cased:BF16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf marma/sentence-bert-swedish-cased:BF16
# Run inference directly in the terminal:
./llama-cli -hf marma/sentence-bert-swedish-cased:BF16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf marma/sentence-bert-swedish-cased:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf marma/sentence-bert-swedish-cased:BF16

Use Docker

docker model run hf.co/marma/sentence-bert-swedish-cased:BF16

LM Studio
Jan
Ollama
How to use marma/sentence-bert-swedish-cased with Ollama:
```
ollama run hf.co/marma/sentence-bert-swedish-cased:BF16
```
Unsloth Desktop
Docker Model Runner
How to use marma/sentence-bert-swedish-cased with Docker Model Runner:
```
docker model run hf.co/marma/sentence-bert-swedish-cased:BF16
```

Lemonade

How to use marma/sentence-bert-swedish-cased with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull marma/sentence-bert-swedish-cased:BF16

Run and chat with the model

lemonade run user.sentence-bert-swedish-cased-BF16

List all available models

lemonade list

Atomic Chat

sentence-bert-swedish-cased / pytorch_model.bin

marma

Upload folder using huggingface_hub

590585d verified 10 months ago

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