Instructions to use Signvrse/Glosser_Gemma2_2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Signvrse/Glosser_Gemma2_2B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Signvrse/Glosser_Gemma2_2B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Signvrse/Glosser_Gemma2_2B")
model = AutoModelForCausalLM.from_pretrained("Signvrse/Glosser_Gemma2_2B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Signvrse/Glosser_Gemma2_2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Signvrse/Glosser_Gemma2_2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Signvrse/Glosser_Gemma2_2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Signvrse/Glosser_Gemma2_2B

SGLang

How to use Signvrse/Glosser_Gemma2_2B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Signvrse/Glosser_Gemma2_2B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Signvrse/Glosser_Gemma2_2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Signvrse/Glosser_Gemma2_2B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Signvrse/Glosser_Gemma2_2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use Signvrse/Glosser_Gemma2_2B with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Signvrse/Glosser_Gemma2_2B to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Signvrse/Glosser_Gemma2_2B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Signvrse/Glosser_Gemma2_2B to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Signvrse/Glosser_Gemma2_2B",
    max_seq_length=2048,
)

Docker Model Runner
How to use Signvrse/Glosser_Gemma2_2B with Docker Model Runner:
```
docker model run hf.co/Signvrse/Glosser_Gemma2_2B
```

Signvrse commited on Oct 6, 2025

Commit

d95fbcd

verified ·

1 Parent(s): 41a4390

Unsloth Model Card

Browse files

Files changed (1) hide show

README.md +3 -4

README.md CHANGED Viewed

@@ -1,21 +1,20 @@
 ---
-base_model: unsloth/gemma-2-2b-bnb-4bit
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - gemma2
-- trl
 license: apache-2.0
 language:
 - en
 ---
-# Uploaded  model
 - **Developed by:** Signvrse
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-2-2b-bnb-4bit
 This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

 ---
+base_model: unsloth/gemma-2-2b
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - gemma2
 license: apache-2.0
 language:
 - en
 ---
+# Uploaded finetuned  model
 - **Developed by:** Signvrse
 - **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-2-2b
 This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.