Instructions to use WilliamHH/Assignment2-modified-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WilliamHH/Assignment2-modified-V3 with Transformers:

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

pipe = pipeline("text-generation", model="WilliamHH/Assignment2-modified-V3")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("WilliamHH/Assignment2-modified-V3")
model = AutoModelForCausalLM.from_pretrained("WilliamHH/Assignment2-modified-V3")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use WilliamHH/Assignment2-modified-V3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "WilliamHH/Assignment2-modified-V3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WilliamHH/Assignment2-modified-V3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/WilliamHH/Assignment2-modified-V3

SGLang

How to use WilliamHH/Assignment2-modified-V3 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 "WilliamHH/Assignment2-modified-V3" \
    --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": "WilliamHH/Assignment2-modified-V3",
		"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 "WilliamHH/Assignment2-modified-V3" \
        --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": "WilliamHH/Assignment2-modified-V3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use WilliamHH/Assignment2-modified-V3 with Docker Model Runner:
```
docker model run hf.co/WilliamHH/Assignment2-modified-V3
```

WilliamHH commited on Oct 3, 2025

Commit

2e9c6ae

verified ·

1 Parent(s): 4a242f9

Training in progress, step 3750

Browse files

Files changed (2) hide show

model.safetensors +1 -1
runs/Oct03_13-13-56_826eaf710181/events.out.tfevents.1759497244.826eaf710181.1717.0 +2 -2

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d169a9863dced74bfd39df59bcc6a00c186ed08218874bbf953118193150c29
 size 538090408

 version https://git-lfs.github.com/spec/v1
+oid sha256:b84312742714f7fa64ee57604c1e076f564e202a0b00d88f036dd67731fcb640
 size 538090408

runs/Oct03_13-13-56_826eaf710181/events.out.tfevents.1759497244.826eaf710181.1717.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c46625fa14a83466f32f8cadd7ae5240ebe31e8062829be73f8550d596137dbe
-size 13253

 version https://git-lfs.github.com/spec/v1
+oid sha256:11aa51af262d680e50e6d0f5c1bc56cbfdfb06932186f982b362983e027a70cf
+size 14089