Instructions to use kraitans21/pythia_1.4B_th_new_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kraitans21/pythia_1.4B_th_new_token with Transformers:

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

pipe = pipeline("text-generation", model="kraitans21/pythia_1.4B_th_new_token")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kraitans21/pythia_1.4B_th_new_token")
model = AutoModelForCausalLM.from_pretrained("kraitans21/pythia_1.4B_th_new_token")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use kraitans21/pythia_1.4B_th_new_token with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kraitans21/pythia_1.4B_th_new_token"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kraitans21/pythia_1.4B_th_new_token",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/kraitans21/pythia_1.4B_th_new_token

SGLang

How to use kraitans21/pythia_1.4B_th_new_token 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 "kraitans21/pythia_1.4B_th_new_token" \
    --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": "kraitans21/pythia_1.4B_th_new_token",
		"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 "kraitans21/pythia_1.4B_th_new_token" \
        --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": "kraitans21/pythia_1.4B_th_new_token",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use kraitans21/pythia_1.4B_th_new_token with Docker Model Runner:
```
docker model run hf.co/kraitans21/pythia_1.4B_th_new_token
```

Upload folder using huggingface_hub

by kraitans21 - opened Jul 5, 2023

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+120177

-0

Upload folder using huggingface_hub0a73a1c5

kraitans21

Owner Jul 5, 2023

No description provided.

kraitans21 changed pull request status to merged Jul 5, 2023

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment