Instructions to use clibrain/lince-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use clibrain/lince-zero with Transformers:

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

pipe = pipeline("text-generation", model="clibrain/lince-zero", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("clibrain/lince-zero", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("clibrain/lince-zero", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use clibrain/lince-zero with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/clibrain/lince-zero

SGLang

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

Docker Model Runner
How to use clibrain/lince-zero with Docker Model Runner:
```
docker model run hf.co/clibrain/lince-zero
```

dvilasuero commited on Jul 7, 2023

Commit

b6bdcd4

1 Parent(s): 5e31360

Fix missing closing parenthesis

Browse files

The code snippet did not work because of a missing parenthesis.

I'd recommend to mention the need to `pip install transformers einops torch`

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -208,7 +208,7 @@ def generate(
 ):
     prompt = create_instruction(instruction, input, context)
-    print(prompt.replace("### Respuesta:\n", "")
     inputs = tokenizer(prompt, return_tensors="pt")
     input_ids = inputs["input_ids"].to("cuda")
     attention_mask = inputs["attention_mask"].to("cuda")

 ):
     prompt = create_instruction(instruction, input, context)
+    print(prompt.replace("### Respuesta:\n", ""))
     inputs = tokenizer(prompt, return_tensors="pt")
     input_ids = inputs["input_ids"].to("cuda")
     attention_mask = inputs["attention_mask"].to("cuda")