Instructions to use JSR-0003/Computer-Science_All-Courses-Guru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JSR-0003/Computer-Science_All-Courses-Guru with Transformers:

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

pipe = pipeline("text-generation", model="JSR-0003/Computer-Science_All-Courses-Guru")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("JSR-0003/Computer-Science_All-Courses-Guru", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use JSR-0003/Computer-Science_All-Courses-Guru with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JSR-0003/Computer-Science_All-Courses-Guru"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JSR-0003/Computer-Science_All-Courses-Guru",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/JSR-0003/Computer-Science_All-Courses-Guru

SGLang

How to use JSR-0003/Computer-Science_All-Courses-Guru 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 "JSR-0003/Computer-Science_All-Courses-Guru" \
    --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": "JSR-0003/Computer-Science_All-Courses-Guru",
		"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 "JSR-0003/Computer-Science_All-Courses-Guru" \
        --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": "JSR-0003/Computer-Science_All-Courses-Guru",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use JSR-0003/Computer-Science_All-Courses-Guru with Docker Model Runner:
```
docker model run hf.co/JSR-0003/Computer-Science_All-Courses-Guru
```

JSR-0003 commited on Jul 24, 2025

Commit

c07cc62

verified ·

1 Parent(s): 1ce1d73

Update README.md

Browse files

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README.md +62 -3

README.md CHANGED Viewed

@@ -1,3 +1,62 @@
----
-license: llama4
----

+---
+license: llama4
+datasets:
+- ComputerScienceHouse/GroceryInContext
+- Lots-of-LoRAs/task701_mmmlu_answer_generation_high_school_computer_science
+- AyoubChLin/ARxiv_Metadata_ComputerScience
+- 5CD-AI/Viet-ComputerScience-VQA
+- shibarashii/general-computer-science-queries
+- Kaeyze/computer-science-synthetic-dataset
+- Danhpham2000/computer_science_qa_dataset
+- masoudc/mmlu-college-computer-science-compilers
+- masoudc/mmlu-college-computer-science-distribution-parallelism
+- Lots-of-LoRAs/task688_mmmlu_answer_generation_college_computer_science
+- >-
+  DataoceanAI/University-level_Mathematics_Physics_Chemistry_Computer_Science_Reasoning_Corpus
+- SukrutAI/Computer-Science-Parallel-Dataset-Indic
+- SukrutAI/Computer-Science-Conversational-Dataset-Indic
+- herronej/SciTrust2-ComputerScienceQA
+- anonymous-paper-author/original_mmlu_pro_computerscience
+- >-
+  anonymous-paper-author/anonymous-paper-author_reproduction_o4mini_computerscience
+- >-
+  anonymous-paper-author/anonymous-paper-author_reproduction_deepseekr1_computerscience
+- >-
+  anonymous-paper-author/anonymous-paper-author_reproduction_g3_mini_computerscience
+- >-
+  anonymous-paper-author/anonymous-paper-author_reproduction_qwen235b_computerscience
+- Jenjamin3000/RAG_documents_computer_science
+- cristiano-sartori/college_computer_science
+- cristiano-sartori/high_school_computer_science
+- gabrieljimenez/wikipedia-english-handpicked-computer-science
+- gabrieljimenez/epfl-computer-science-mcqa
+- japan-ai-official/jmmlu-curated-computer-science
+- paperlantern/computer_science_ai_search_queries
+- paperlantern/computer_science_non_ai_search_queries
+- joey234/mmlu-college_computer_science-neg
+- joey234/mmlu-high_school_computer_science-neg
+- joey234/mmlu-college_computer_science-neg-prepend
+- joey234/mmlu-high_school_computer_science-neg-prepend
+- joey234/mmlu-college_computer_science-verbal-neg-prepend
+- joey234/mmlu-high_school_computer_science-verbal-neg-prepend
+- joey234/mmlu-college_computer_science-rule-neg-prepend
+- joey234/mmlu-high_school_computer_science-rule-neg-prepend
+- joey234/mmlu-college_computer_science-original-neg
+- joey234/mmlu-high_school_computer_science-original-neg
+- joey234/mmlu-college_computer_science-original-neg-prepend
+- joey234/mmlu-high_school_computer_science-original-neg-prepend
+- joey234/mmlu-college_computer_science-neg-answer
+- joey234/mmlu-high_school_computer_science-neg-answer
+- joey234/mmlu-college_computer_science
+- joey234/mmlu-high_school_computer_science-dev
+- awsebbas/QA_computer_science
+- joey234/mmlu-college_computer_science-neg-prepend-fix
+- joey234/mmlu-high_school_computer_science-neg-prepend-fix
+- joey234/mmlu-college_computer_science-neg-prepend-verbal
+- brucewlee1/mmlu-high-school-computer-science
+- brucewlee1/mmlu-college-computer-science
+- samehuss/Computersciencewords
+- barath13/computerscience91
+- Puidii/aalen_university_faculty_computer_science
+- AlaaElhilo/Wikipedia_ComputerScience
+---