Text Generation
Transformers
Safetensors
English
qwen3
trl
text-generation-inference
agent
tool
web-agent
conversational
Instructions to use prithivMLmods/Dorado-WebSurf_Tool-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Dorado-WebSurf_Tool-ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="prithivMLmods/Dorado-WebSurf_Tool-ext") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Dorado-WebSurf_Tool-ext") model = AutoModelForCausalLM.from_pretrained("prithivMLmods/Dorado-WebSurf_Tool-ext", device_map="auto") 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use prithivMLmods/Dorado-WebSurf_Tool-ext with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "prithivMLmods/Dorado-WebSurf_Tool-ext" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "prithivMLmods/Dorado-WebSurf_Tool-ext", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/prithivMLmods/Dorado-WebSurf_Tool-ext
- SGLang
How to use prithivMLmods/Dorado-WebSurf_Tool-ext 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 "prithivMLmods/Dorado-WebSurf_Tool-ext" \ --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": "prithivMLmods/Dorado-WebSurf_Tool-ext", "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 "prithivMLmods/Dorado-WebSurf_Tool-ext" \ --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": "prithivMLmods/Dorado-WebSurf_Tool-ext", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use prithivMLmods/Dorado-WebSurf_Tool-ext with Docker Model Runner:
docker model run hf.co/prithivMLmods/Dorado-WebSurf_Tool-ext
Update README.md
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README.md
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```
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Give the latest news about the Nepal protests in 2025.
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(India Today News)
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## Example : 02
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Kallakurichi illicit liquor death toll under the DMK government in Tamil Nadu, 2024
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The death toll in Tamil Nadu's Kallakurichi district due to illicit liquor consumption reached **53** as of June 19, 2024, according to an India Today report.
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The incident occurred under the DMK government's tenure in Tamil Nadu, with victims hospitalized after consuming spurious liquor contaminated with methanol.
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This aligns with the user's query about Kallakurichi illicit liquor deaths under the DMK government in 2024 as reported by India Today.
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**Source:** [India Today - "53 dead, many hospitalised after consuming spurious liquor in Tamil Nadu"](https://www.indiatoday.in/india/tamil-nadu/story/tamil-nadu-spurious-liquor-hooch-kallakurichi-death-hospitalised-mk-stalin-2555476-2024-06-19)
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## Example : 03
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Give the latest news about the Nepal protests in 2025.
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