Instructions to use ababio/llama_2_7b_go_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ababio/llama_2_7b_go_emotion with Transformers:

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

pipe = pipeline("text-generation", model="ababio/llama_2_7b_go_emotion")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ababio/llama_2_7b_go_emotion")
model = AutoModelForCausalLM.from_pretrained("ababio/llama_2_7b_go_emotion", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ababio/llama_2_7b_go_emotion with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ababio/llama_2_7b_go_emotion"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ababio/llama_2_7b_go_emotion",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ababio/llama_2_7b_go_emotion

SGLang

How to use ababio/llama_2_7b_go_emotion 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 "ababio/llama_2_7b_go_emotion" \
    --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": "ababio/llama_2_7b_go_emotion",
		"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 "ababio/llama_2_7b_go_emotion" \
        --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": "ababio/llama_2_7b_go_emotion",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ababio/llama_2_7b_go_emotion with Docker Model Runner:
```
docker model run hf.co/ababio/llama_2_7b_go_emotion
```

llama_2_7b_go_emotion

Commit History

Adding `safetensors` variant of this model (#1)

3775c82
verified

ababio

SFconvertbot commited on May 6, 2025

Upload LlamaForCausalLM

a3ab0c7
verified

ababio commited on Mar 2, 2024

initial commit

b86e910
verified

ababio commited on Mar 2, 2024

Commit History

Adding `safetensors` variant of this model (#1) 3775c82 verified

Upload LlamaForCausalLM a3ab0c7 verified

initial commit b86e910 verified

Adding `safetensors` variant of this model (#1)

3775c82
verified

Upload LlamaForCausalLM

a3ab0c7
verified

initial commit

b86e910
verified