Instructions to use OEvortex/EMO-2B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OEvortex/EMO-2B-v2 with Transformers:

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

pipe = pipeline("text-generation", model="OEvortex/EMO-2B-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OEvortex/EMO-2B-v2")
model = AutoModelForCausalLM.from_pretrained("OEvortex/EMO-2B-v2", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OEvortex/EMO-2B-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OEvortex/EMO-2B-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OEvortex/EMO-2B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OEvortex/EMO-2B-v2

SGLang

How to use OEvortex/EMO-2B-v2 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 "OEvortex/EMO-2B-v2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OEvortex/EMO-2B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "OEvortex/EMO-2B-v2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OEvortex/EMO-2B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OEvortex/EMO-2B-v2 with Docker Model Runner:
```
docker model run hf.co/OEvortex/EMO-2B-v2
```

Abhaykoul commited on May 6, 2024

Commit

1d30d85

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1 Parent(s): 4714889

Update README.md

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@@ -3,7 +3,9 @@ library_name: transformers
 widget:
 - messages:
   - role: user
-    content: My best friend recently lost their parent to cancer after a long battle. They are understandably devastated and struggling with grief.
 inference:
   parameters:
     max_new_tokens: 200
@@ -11,6 +13,8 @@ license: apache-2.0
 tags:
 - EMO
 - HelpingAI
 ---
 # EMO-2B: Emotionally Intelligent Conversational AI

 widget:
 - messages:
   - role: user
+    content: >-
+      My best friend recently lost their parent to cancer after a long battle.
+      They are understandably devastated and struggling with grief.
 inference:
   parameters:
     max_new_tokens: 200
 tags:
 - EMO
 - HelpingAI
+datasets:
+- OEvortex/SentimentSynth
 ---
 # EMO-2B: Emotionally Intelligent Conversational AI