Text Generation
Transformers
Spanish
English
customer-support
question-answering
Dialogue
Chatbot
text2text-generation
Instructions to use Ari-008/CustomerSupportAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ari-008/CustomerSupportAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ari-008/CustomerSupportAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ari-008/CustomerSupportAI", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Ari-008/CustomerSupportAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ari-008/CustomerSupportAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ari-008/CustomerSupportAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Ari-008/CustomerSupportAI
- SGLang
How to use Ari-008/CustomerSupportAI 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 "Ari-008/CustomerSupportAI" \ --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": "Ari-008/CustomerSupportAI", "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 "Ari-008/CustomerSupportAI" \ --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": "Ari-008/CustomerSupportAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Ari-008/CustomerSupportAI with Docker Model Runner:
docker model run hf.co/Ari-008/CustomerSupportAI
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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datasets:
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- bitext/Bitext-customer-support-llm-chatbot-training-dataset
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language:
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- es
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- en
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metrics:
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- accuracy
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- perplexity
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- f1
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- bleu
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base_model:
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- google-bert/bert-base-multilingual-cased
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- nomic-ai/gpt4all-j
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- google/flan-t5-large
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- stabilityai/stable-diffusion-3-medium
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new_version: praneethposina/customer_support_bot
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pipeline_tag: text2text-generation
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library_name: transformers
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tags:
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- customer-support
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- question-answering
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- Dialogue
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- Chatbot
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---
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