Instructions to use amogaddy/GenerAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amogaddy/GenerAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="amogaddy/GenerAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amogaddy/GenerAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use amogaddy/GenerAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "amogaddy/GenerAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/amogaddy/GenerAI
- SGLang
How to use amogaddy/GenerAI 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 "amogaddy/GenerAI" \ --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": "amogaddy/GenerAI", "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 "amogaddy/GenerAI" \ --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": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use amogaddy/GenerAI with Docker Model Runner:
docker model run hf.co/amogaddy/GenerAI
| license: mit | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| language: | |
| - it | |
| - en | |
| tags: | |
| - generative-ai | |
| - text-generation | |
| - scraper | |
| # GenerAI - Modello di Generazione Testo | |
| GenerAI è un modello di intelligenza artificiale ottimizzato per la generazione di testo e compiti di conversazione in lingua italiana e inglese. | |
| ## Dettagli del Modello | |
| - **Sviluppato da:** amogaddy | |
| - **Tipo di Modello:** Generative Text Model (LLM) | |
| - **Lingue Supportate:** Italiano, Inglese | |
| - **Licenza:** MIT | |
| ## Come Utilizzarlo | |
| Puoi utilizzare questo modello direttamente con la libreria `transformers`: | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("amogaddy/GenerAI") | |
| model = AutoModelForCausalLM.from_pretrained("amogaddy/GenerAI") | |
| prompt = "L'intelligenza artificiale generativa è" | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=50) | |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) | |
| ``` |