Text Generation
Transformers
PyTorch
Safetensors
English
Spanish
Catalan
RefinedWebModel
aguila
falcon
spanish
catalan
custom_code
Eval Results (legacy)
text-generation-inference
Instructions to use projecte-aina/aguila-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/aguila-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="projecte-aina/aguila-7b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("projecte-aina/aguila-7b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use projecte-aina/aguila-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "projecte-aina/aguila-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "projecte-aina/aguila-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/projecte-aina/aguila-7b
- SGLang
How to use projecte-aina/aguila-7b 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 "projecte-aina/aguila-7b" \ --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": "projecte-aina/aguila-7b", "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 "projecte-aina/aguila-7b" \ --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": "projecte-aina/aguila-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use projecte-aina/aguila-7b with Docker Model Runner:
docker model run hf.co/projecte-aina/aguila-7b
Fine tune the model to act like a translator
#2
by iongpt - opened
I have more than 500 000 high quality English to Spanish translation.
Would you be interested to further fine tune the model to be able to translate from English to Spanish?
Hi!
We are more than interested 😃
Feel free to send us an email to langtech@bsc.es so we can talk this through.
Thank you,
Joan