Instructions to use Joaoffg/SHARE-4B-Base-2604 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Joaoffg/SHARE-4B-Base-2604 with Transformers:

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

pipe = pipeline("text-generation", model="Joaoffg/SHARE-4B-Base-2604")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Joaoffg/SHARE-4B-Base-2604")
model = AutoModelForCausalLM.from_pretrained("Joaoffg/SHARE-4B-Base-2604", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Joaoffg/SHARE-4B-Base-2604 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Joaoffg/SHARE-4B-Base-2604"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Joaoffg/SHARE-4B-Base-2604",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Joaoffg/SHARE-4B-Base-2604

SGLang

How to use Joaoffg/SHARE-4B-Base-2604 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 "Joaoffg/SHARE-4B-Base-2604" \
    --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": "Joaoffg/SHARE-4B-Base-2604",
		"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 "Joaoffg/SHARE-4B-Base-2604" \
        --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": "Joaoffg/SHARE-4B-Base-2604",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Joaoffg/SHARE-4B-Base-2604 with Docker Model Runner:
```
docker model run hf.co/Joaoffg/SHARE-4B-Base-2604
```

Joaoffg commited on Apr 14

Commit

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@@ -159,17 +159,20 @@ The project applied Chinchilla scaling laws to budget compute and used efficienc
 **BibTeX:**
 ```bibtex
-@techreport{goncalves2026share,
-  title  = {SHARE Technical Report: Social-Humanities AI for Research and Education},
-  author = {Gon{\c{c}}alves, Jo{\~a}o and de Jager, Sonia and Knoth, Petr and Pride, David and Jelicic, Nick},
-  year   = {2026},
-  institution = {Erasmus University Rotterdam and Open University}
 }
 ```
 **APA:**
-Gonçalves, J., de Jager, S., Knoth, P., Pride, D., & Jelicic, N. (2026). *SHARE Technical Report: Social-Humanities AI for Research and Education*. Erasmus University Rotterdam and Open University.
 ## Privacy statement

 **BibTeX:**
 ```bibtex
+@misc{gonçalves2026sharesocialhumanitiesairesearch,
+      title={SHARE: Social-Humanities AI for Research and Education},
+      author={João Gonçalves and Sonia de Jager and Petr Knoth and David Pride and Nick Jelicic},
+      year={2026},
+      eprint={2604.11152},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2604.11152},
 }
 ```
 **APA:**
+Gonçalves, J., de Jager, S., Knoth, P., Pride, D., & Jelicic, N. (2026). SHARE: Social-humanities AI for research and education. arXiv. https://arxiv.org/abs/2604.11152
 ## Privacy statement