Instructions to use pixelsandpointers/t5-empatheticdialogues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pixelsandpointers/t5-empatheticdialogues with Transformers:

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

pipe = pipeline("text-generation", model="pixelsandpointers/t5-empatheticdialogues")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("pixelsandpointers/t5-empatheticdialogues")
model = AutoModelForSeq2SeqLM.from_pretrained("pixelsandpointers/t5-empatheticdialogues")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use pixelsandpointers/t5-empatheticdialogues with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pixelsandpointers/t5-empatheticdialogues"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pixelsandpointers/t5-empatheticdialogues",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pixelsandpointers/t5-empatheticdialogues

SGLang

How to use pixelsandpointers/t5-empatheticdialogues 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 "pixelsandpointers/t5-empatheticdialogues" \
    --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": "pixelsandpointers/t5-empatheticdialogues",
		"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 "pixelsandpointers/t5-empatheticdialogues" \
        --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": "pixelsandpointers/t5-empatheticdialogues",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pixelsandpointers/t5-empatheticdialogues with Docker Model Runner:
```
docker model run hf.co/pixelsandpointers/t5-empatheticdialogues
```

t5-empatheticdialogues

Commit History

Adding `safetensors` variant of this model

3fdd3bb
verified

SFconvertbot commited on May 7, 2025

Create README.md

5709b68
verified

Benjamin Beilharz commited on Apr 19, 2025

add tokenizer

3d26e85

Benjamin Beilharz commited on Apr 17, 2022

add model

df98549

Benjamin Beilharz commited on Apr 17, 2022

initial commit

acee832

Benjamin Beilharz commited on Apr 17, 2022

Commit History

Adding `safetensors` variant of this model 3fdd3bb verified

Create README.md 5709b68 verified

add tokenizer 3d26e85

add model df98549

initial commit acee832

Adding `safetensors` variant of this model

3fdd3bb
verified

Create README.md

5709b68
verified

add tokenizer

3d26e85

add model

df98549

initial commit

acee832