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

Libraries

How to use cphienanda/nqaasksciencemodeling with Transformers:

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

pipe = pipeline("text-generation", model="cphienanda/nqaasksciencemodeling")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cphienanda/nqaasksciencemodeling")
model = AutoModelForCausalLM.from_pretrained("cphienanda/nqaasksciencemodeling")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cphienanda/nqaasksciencemodeling with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/cphienanda/nqaasksciencemodeling

SGLang

How to use cphienanda/nqaasksciencemodeling 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 "cphienanda/nqaasksciencemodeling" \
    --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": "cphienanda/nqaasksciencemodeling",
		"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 "cphienanda/nqaasksciencemodeling" \
        --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": "cphienanda/nqaasksciencemodeling",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

cphienanda commited on Dec 5, 2024

Commit

b1c5251

verified ·

1 Parent(s): 5434c5a

Training in progress, step 500

Browse files

Files changed (4) hide show

model.safetensors +1 -1
runs/Dec04_23-34-14_xtaco/events.out.tfevents.1733384072.xtaco.9480.0 +2 -2
runs/Dec04_23-39-24_xtaco/events.out.tfevents.1733384385.xtaco.10844.0 +3 -0
training_args.bin +1 -1

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:33a6addb2ad6e278f7e165c5564604146b194ad833841b8258f88d3aa18922c9
 size 328693404

 version https://git-lfs.github.com/spec/v1
+oid sha256:174779a69626d3be049b73acf178d14a4e190ff3a13d7c4bbc2a3101d5f75c96
 size 328693404

runs/Dec04_23-34-14_xtaco/events.out.tfevents.1733384072.xtaco.9480.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9970809b4ce402a24433e84ef546211e39aff0e22f2b1bc6c6f4ed6b454b3c1
-size 5356

 version https://git-lfs.github.com/spec/v1
+oid sha256:1e18b7e73004c599344eb5908f5b112a18eeecf9e16e1c7203d41d681801b76c
+size 11034

runs/Dec04_23-39-24_xtaco/events.out.tfevents.1733384385.xtaco.10844.0 ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:22f34796a9e47064605c58f6d9fe3063e4776f8e889f0e7f493cc67d3f38a8e9
+size 5356

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:045643ced78bfe92b61d31f524e9db7d83eb000d5737ca157136a688e2b9de1e
 size 4847

 version https://git-lfs.github.com/spec/v1
+oid sha256:2e7b4c2ebd6e8f0e8947695afeed44bf2dfa3ac4fc82c3d682d5ef10df4387ca
 size 4847