Instructions to use humarin/chatgpt_paraphraser_on_T5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use humarin/chatgpt_paraphraser_on_T5_base with Transformers:

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

pipe = pipeline("text-generation", model="humarin/chatgpt_paraphraser_on_T5_base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("humarin/chatgpt_paraphraser_on_T5_base")
model = AutoModelForSeq2SeqLM.from_pretrained("humarin/chatgpt_paraphraser_on_T5_base")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use humarin/chatgpt_paraphraser_on_T5_base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "humarin/chatgpt_paraphraser_on_T5_base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "humarin/chatgpt_paraphraser_on_T5_base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/humarin/chatgpt_paraphraser_on_T5_base

SGLang

How to use humarin/chatgpt_paraphraser_on_T5_base 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 "humarin/chatgpt_paraphraser_on_T5_base" \
    --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": "humarin/chatgpt_paraphraser_on_T5_base",
		"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 "humarin/chatgpt_paraphraser_on_T5_base" \
        --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": "humarin/chatgpt_paraphraser_on_T5_base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use humarin/chatgpt_paraphraser_on_T5_base with Docker Model Runner:
```
docker model run hf.co/humarin/chatgpt_paraphraser_on_T5_base
```

La communication

#23

by A-n-o-u-a-r - opened Jan 14, 2025

Discussion

A-n-o-u-a-r

Jan 14, 2025

La communication rale est au coeur des interactions professionnelles, Elle permet de partager des informatius, d'échangh dis idees et de résoudre des problèmes. Pour qu' elle soit efficace, plusieurs éléments facillitent sa réussite.

Rédigez un texte structuré dans lequel vers analysely et expliquez les éléments. clés qui permettent de récussir une communication crale eu milien pufessionel.

Definissez la Communication crale en milien pufessionnel et expliquez son role crucial dans la réussite des échanges, la cohésion d'équipe...
Ident fiz et développez les élément facilitatems de la communication. rale. Exemple l'écoute active... illustres par des exemples pratiques. de situations professionnelles.

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