Instructions to use ahsen3112/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ahsen3112/working with Transformers:

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

pipe = pipeline("text-generation", model="ahsen3112/working")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ahsen3112/working")
model = AutoModelForCausalLM.from_pretrained("ahsen3112/working")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ahsen3112/working with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ahsen3112/working"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ahsen3112/working",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ahsen3112/working

SGLang

How to use ahsen3112/working 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 "ahsen3112/working" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ahsen3112/working",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ahsen3112/working" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ahsen3112/working",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ahsen3112/working with Docker Model Runner:
```
docker model run hf.co/ahsen3112/working
```

ahsen3112 commited on Feb 26, 2025

Commit

f459844

verified ·

1 Parent(s): 1fffab7

End of training

Browse files

Files changed (4) hide show

README.md +2 -2
model.safetensors +1 -1
runs/Feb26_07-08-50_5d18ba93e6c0/events.out.tfevents.1740553730.5d18ba93e6c0.31.0 +3 -0
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4414
 ## Model description
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 3.5717        | 0.9985 | 499  | 0.4414          |
 ### Framework versions

 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4403
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
+| 3.5835        | 0.9985 | 499  | 0.4403          |
 ### Framework versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4196ed177a1fe16dfeaf923d545013e5ede393654d56e5ddbabb1fb3ed96eef
 size 1447317080

 version https://git-lfs.github.com/spec/v1
+oid sha256:d6788db55263c6caf0e9e9bbca6cda35f5a63ac1a3999bfdb7cc7300db489a36
 size 1447317080

runs/Feb26_07-08-50_5d18ba93e6c0/events.out.tfevents.1740553730.5d18ba93e6c0.31.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f3a6e9e8baf6a80f0a718a5d5b1daacbbb72bc37b5fd52feaa1c6e9cd41b46b9
+size 7865

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4cf3079248b7da11ea0c821586eb05080149d11a9725bddc6bbd4f2da0016087
 size 5368

 version https://git-lfs.github.com/spec/v1
+oid sha256:534277570db7880236e63d1f65dfeb16116d48bbcb5b53d65b4e2031e1e79713
 size 5368