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

Libraries

How to use cgrumbach/BitcoinPaper with Transformers:

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

pipe = pipeline("text-generation", model="cgrumbach/BitcoinPaper")

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

tokenizer = AutoTokenizer.from_pretrained("cgrumbach/BitcoinPaper")
model = AutoModelForCausalLM.from_pretrained("cgrumbach/BitcoinPaper", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cgrumbach/BitcoinPaper with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/cgrumbach/BitcoinPaper

SGLang

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

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

BitcoinPaper

File size: 745 Bytes

884a52f

Author,Publication date,Title,Estimate (TWh)
"Sandner, P., Lichti, C., Richter, R., Heidt, C. and Schaub, B.",August 2021,The Carbon Emissions of Bitcoin From an Investor Perspective,90.9
"Krause, M.J. and Tolaymat, T.",November 2018,Quantification of energy and carbon costs for mining cryptocurrencies,30.1
"McCook, H.",August 2018,The cost & sustainability of Bitcoin,105.0

"De Vries, A.",May 2018,Bitcoin's Growing Energy Problem,22.4 to 67.2
"Vranken, H.",October 2017,Sustainability of bitcoin and blockchains,0.9 to 4.4
"Bevand, M.",February 2017,Electricity consumption of Bitcoin: a market-based and technical analysis,4.1 to 4.7
"O'Dwyer, K.L. and Malone, D.",September 2014,Bitcoin Mining and its Energy Footprint,0.9 to 87.6