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

Libraries

How to use sedrickkeh/checkpoints with Transformers:

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

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

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sedrickkeh/checkpoints")
model = AutoModelForCausalLM.from_pretrained("sedrickkeh/checkpoints", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sedrickkeh/checkpoints with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/sedrickkeh/checkpoints

SGLang

How to use sedrickkeh/checkpoints 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 "sedrickkeh/checkpoints" \
    --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": "sedrickkeh/checkpoints",
		"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 "sedrickkeh/checkpoints" \
        --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": "sedrickkeh/checkpoints",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

sedrickkeh commited on Oct 25, 2024

Commit

996c766

verified ·

1 Parent(s): 0a3eb3b

Training in progress, epoch 1

Browse files

Files changed (5) hide show

model-00001-of-00003.safetensors +1 -1
model-00002-of-00003.safetensors +1 -1
model-00003-of-00003.safetensors +1 -1
trainer_log.jsonl +4 -4
training_args.bin +1 -1

model-00001-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69925e0434c1aa6c0fcb370a909b5afb898f5739ba23133d9f289a5023480113
 size 4943162336

 version https://git-lfs.github.com/spec/v1
+oid sha256:c5e4af82da11b9f4568674eb684353d4aa91584123c906ebe34be5e49c3c9e1e
 size 4943162336

model-00002-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c90d4ecfc738d8d284628b672ff8ff5240ccabc492cbdec8c8f89e29ce0bf46b
 size 4999819336

 version https://git-lfs.github.com/spec/v1
+oid sha256:9502676c155ec4fe9d394d0ce35d5dc1921aea43566b619b6e5cef8f287ee68d
 size 4999819336

model-00003-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79a64755ca335480a9fc38901f2454e5d3a9d36b3ff0dc42f33ee92eef103784
 size 4540516344

 version https://git-lfs.github.com/spec/v1
+oid sha256:62be2ee479407187a670cf3bd3ac1f0bdefb55962d7611d7dad00670c81cdc8d
 size 4540516344

trainer_log.jsonl CHANGED Viewed

@@ -1,4 +1,4 @@
-{"current_steps": 10, "total_steps": 23, "loss": 1.3613, "learning_rate": 1.4539904997395468e-05, "epoch": 0.43478260869565216, "percentage": 43.48, "elapsed_time": "0:00:51", "remaining_time": "0:01:07"}
-{"current_steps": 20, "total_steps": 23, "loss": 1.1053, "learning_rate": 1.0899347581163222e-06, "epoch": 0.8695652173913043, "percentage": 86.96, "elapsed_time": "0:01:42", "remaining_time": "0:00:15"}
-{"current_steps": 23, "total_steps": 23, "eval_loss": 1.0604820251464844, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:03:28", "remaining_time": "0:00:00"}
-{"current_steps": 23, "total_steps": 23, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:05:02", "remaining_time": "0:00:00"}

+{"current_steps": 10, "total_steps": 23, "loss": 1.3607, "learning_rate": 1.4539904997395468e-05, "epoch": 0.43478260869565216, "percentage": 43.48, "elapsed_time": "0:00:50", "remaining_time": "0:01:05"}
+{"current_steps": 20, "total_steps": 23, "loss": 1.1092, "learning_rate": 1.0899347581163222e-06, "epoch": 0.8695652173913043, "percentage": 86.96, "elapsed_time": "0:01:40", "remaining_time": "0:00:15"}
+{"current_steps": 23, "total_steps": 23, "eval_loss": 1.0612308979034424, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:03:28", "remaining_time": "0:00:00"}
+{"current_steps": 23, "total_steps": 23, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:05:06", "remaining_time": "0:00:00"}

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:207b9ec25b4a2dc305272d605084cc760233ade1bd79a04fcfcdd946376e3fd5
 size 6520

 version https://git-lfs.github.com/spec/v1
+oid sha256:b402ec1d29b1b813da255c080278d10b9ba2ca7954509d73c6ad7d3e4cdef2b9
 size 6520