Instructions to use itsnanireddy/GenAIClass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsnanireddy/GenAIClass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="itsnanireddy/GenAIClass")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("itsnanireddy/GenAIClass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use itsnanireddy/GenAIClass with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "itsnanireddy/GenAIClass" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "itsnanireddy/GenAIClass", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/itsnanireddy/GenAIClass
- SGLang
How to use itsnanireddy/GenAIClass 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 "itsnanireddy/GenAIClass" \ --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": "itsnanireddy/GenAIClass", "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 "itsnanireddy/GenAIClass" \ --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": "itsnanireddy/GenAIClass", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use itsnanireddy/GenAIClass with Docker Model Runner:
docker model run hf.co/itsnanireddy/GenAIClass
GenAIClass
Model Description
This model was created as part of a Generative AI learning project using Hugging Face Transformers.
Intended Use
The model can be used for:
- Text generation
- Question answering
- NLP experiments
Base Model
- google/flan-t5-base (or your actual base model)
Training Data
- Custom dataset
- Educational NLP datasets
Training Details
- Framework: Hugging Face Transformers
- Language: Python
- Hardware: GPU/CPU
Evaluation
Model was evaluated on validation data using:
- Accuracy
- F1 Score
Limitations
- May generate incorrect information.
- Performance depends on training data quality.
Authors
Y. Narayana Reddy