Instructions to use bala1802/model_1_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bala1802/model_1_test with Transformers:

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

pipe = pipeline("text-generation", model="bala1802/model_1_test")

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

tokenizer = AutoTokenizer.from_pretrained("bala1802/model_1_test")
model = AutoModelForCausalLM.from_pretrained("bala1802/model_1_test", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bala1802/model_1_test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bala1802/model_1_test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bala1802/model_1_test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bala1802/model_1_test

SGLang

How to use bala1802/model_1_test 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 "bala1802/model_1_test" \
    --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": "bala1802/model_1_test",
		"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 "bala1802/model_1_test" \
        --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": "bala1802/model_1_test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bala1802/model_1_test with Docker Model Runner:
```
docker model run hf.co/bala1802/model_1_test
```

model_1_test

Commit History

Aug 9, 2023

19:46
Adding `safetensors` variant of this model⁠

SFconvertbot

60ac3b6

May 21, 2021

13:59
upload flax model

patrickvonplaten

a24589e
13:59
allow flax

patrickvonplaten

44213e1

Feb 20, 2021

08:37
added missing tokenizers

balaguru.s

550af80
07:18
added tokenizer in the config file

balaguru.s

fad03c5

Feb 19, 2021

10:17
CHekcing in the checpoints

balaguru.s

026f4bd
10:05
Modified config.json

balaguru.s

257b9c3
06:00
Update from Bala

balaguru.s

36fcc30
05:53
initial commit

system HF Staff

2ee7bbc

Commit History

Aug 9, 2023

Adding `safetensors` variant of this model⁠

May 21, 2021

upload flax model

allow flax

Feb 20, 2021

added missing tokenizers

added tokenizer in the config file

Feb 19, 2021

CHekcing in the checpoints

Modified config.json

Update from Bala

initial commit