Instructions to use Rohithoctacter/falcon-2b-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rohithoctacter/falcon-2b-scratch with Transformers:

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

pipe = pipeline("text-generation", model="Rohithoctacter/falcon-2b-scratch", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Rohithoctacter/falcon-2b-scratch", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Rohithoctacter/falcon-2b-scratch", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Rohithoctacter/falcon-2b-scratch with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Rohithoctacter/falcon-2b-scratch"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Rohithoctacter/falcon-2b-scratch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Rohithoctacter/falcon-2b-scratch

SGLang

How to use Rohithoctacter/falcon-2b-scratch 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 "Rohithoctacter/falcon-2b-scratch" \
    --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": "Rohithoctacter/falcon-2b-scratch",
		"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 "Rohithoctacter/falcon-2b-scratch" \
        --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": "Rohithoctacter/falcon-2b-scratch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Rohithoctacter/falcon-2b-scratch with Docker Model Runner:
```
docker model run hf.co/Rohithoctacter/falcon-2b-scratch
```

falcon-2b-scratch

Commit History

Upload tokenizer

ae4e66e
verified

Tonyshah commited on Oct 4, 2025

Upload FalconForCausalLM

f02f875
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Tonyshah commited on Oct 4, 2025

initial commit

67aeafe
verified

Tonyshah commited on Oct 4, 2025

Commit History

Upload tokenizer ae4e66e verified

Upload FalconForCausalLM f02f875 verified

initial commit 67aeafe verified

Upload tokenizer

ae4e66e
verified

Upload FalconForCausalLM

f02f875
verified

initial commit

67aeafe
verified