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

Libraries

How to use huggingtweets/eigenrobot with Transformers:

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

pipe = pipeline("text-generation", model="huggingtweets/eigenrobot")

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

tokenizer = AutoTokenizer.from_pretrained("huggingtweets/eigenrobot")
model = AutoModelForCausalLM.from_pretrained("huggingtweets/eigenrobot", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use huggingtweets/eigenrobot with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/huggingtweets/eigenrobot

SGLang

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

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

eigenrobot

Commit History

Jul 12, 2023

21:34
Adding `safetensors` variant of this model⁠

SFconvertbot

cb7ec17

May 22, 2021

02:46
upload flax model

patrickvonplaten

6c9d2a2
02:46
allow flax

patrickvonplaten

908c6c7

Apr 7, 2021

07:45
Update model preview

boris

635abf1
07:45
New model from https://wandb.ai/wandb/huggingtweets/runs/1p1mtyuv

boris

44f83e0
07:44
initial commit

system HF Staff

19c1fe5

Commit History

Jul 12, 2023

Adding `safetensors` variant of this model⁠

May 22, 2021

upload flax model

allow flax

Apr 7, 2021

Update model preview

New model from https://wandb.ai/wandb/huggingtweets/runs/1p1mtyuv

initial commit