Instructions to use mrm8488/Alpacoom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/Alpacoom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mrm8488/Alpacoom")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrm8488/Alpacoom", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mrm8488/Alpacoom with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mrm8488/Alpacoom" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mrm8488/Alpacoom", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mrm8488/Alpacoom
- SGLang
How to use mrm8488/Alpacoom 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 "mrm8488/Alpacoom" \ --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": "mrm8488/Alpacoom", "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 "mrm8488/Alpacoom" \ --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": "mrm8488/Alpacoom", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mrm8488/Alpacoom with Docker Model Runner:
docker model run hf.co/mrm8488/Alpacoom
Error in readme
#2
by mustapha - opened
README.md
CHANGED
|
@@ -55,7 +55,6 @@ peft_model_id = "mrm8488/Alpacoom"
|
|
| 55 |
config = PeftConfig.from_pretrained(peft_model_id)
|
| 56 |
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map="auto")
|
| 57 |
tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom-7b1")
|
| 58 |
-
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 59 |
|
| 60 |
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 61 |
model.eval()
|
|
|
|
| 55 |
config = PeftConfig.from_pretrained(peft_model_id)
|
| 56 |
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map="auto")
|
| 57 |
tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom-7b1")
|
|
|
|
| 58 |
|
| 59 |
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 60 |
model.eval()
|