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

Libraries

How to use ravithejads/telugumodels with Transformers:

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

pipe = pipeline("text-generation", model="ravithejads/telugumodels")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ravithejads/telugumodels")
model = AutoModelForCausalLM.from_pretrained("ravithejads/telugumodels")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ravithejads/telugumodels with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ravithejads/telugumodels"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ravithejads/telugumodels",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ravithejads/telugumodels

SGLang

How to use ravithejads/telugumodels 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 "ravithejads/telugumodels" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ravithejads/telugumodels",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ravithejads/telugumodels" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ravithejads/telugumodels",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

telugumodels

Commit History

Adding `safetensors` variant of this model

93a5936
verified

SFconvertbot commited on May 17, 2025

Create README with Telugu language (#1)

308ca27
verified

ravithejads

nirantk commited on Jan 28, 2024

Upload tokenizer

08095ee
verified

ravithejads commited on Jan 27, 2024

Upload LlamaForCausalLM

48314c3
verified

ravithejads commited on Jan 27, 2024

initial commit

6bf7f6c
verified

ravithejads commited on Jan 27, 2024

Commit History

Adding `safetensors` variant of this model 93a5936 verified

Create README with Telugu language (#1) 308ca27 verified

Upload tokenizer 08095ee verified

Upload LlamaForCausalLM 48314c3 verified

initial commit 6bf7f6c verified

Adding `safetensors` variant of this model

93a5936
verified

Create README with Telugu language (#1)

308ca27
verified

Upload tokenizer

08095ee
verified

Upload LlamaForCausalLM

48314c3
verified

initial commit

6bf7f6c
verified