Text Generation
Transformers
PyTorch
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
text2text-generation
T5
NorT5
Norwegian
encoder-decoder
custom_code
Instructions to use ltg/nort5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/nort5-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ltg/nort5-small", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("ltg/nort5-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ltg/nort5-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ltg/nort5-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ltg/nort5-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ltg/nort5-small
- SGLang
How to use ltg/nort5-small 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 "ltg/nort5-small" \ --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": "ltg/nort5-small", "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 "ltg/nort5-small" \ --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": "ltg/nort5-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ltg/nort5-small with Docker Model Runner:
docker model run hf.co/ltg/nort5-small
Update config.json
Browse files- config.json +6 -0
config.json
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"architectures": [
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"NorT5ForConditionalGeneration"
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],
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"attention_probs_dropout_prob": 0.0,
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"bos_token_id": 5,
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"cls_token_id": 1,
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"architectures": [
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"NorT5ForConditionalGeneration"
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],
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"auto_map": {
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"AutoConfig": "configuration_nort5.NorT5Config",
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"AutoModel": "modeling_nort5.NorT5Model",
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"AutoModelForSeq2SeqLM": "modeling_nort5.NorT5ForConditionalGeneration",
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"AutoModelForConditionalGeneration": "modeling_nort5.NorT5ForConditionalGeneration"
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},
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"attention_probs_dropout_prob": 0.0,
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"bos_token_id": 5,
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"cls_token_id": 1,
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