Instructions to use Finisha-F-scratch/Nelya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-F-scratch/Nelya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Finisha-F-scratch/Nelya") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/Nelya") model = AutoModelForCausalLM.from_pretrained("Finisha-F-scratch/Nelya") 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 Finisha-F-scratch/Nelya with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Finisha-F-scratch/Nelya" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Finisha-F-scratch/Nelya", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Finisha-F-scratch/Nelya
- SGLang
How to use Finisha-F-scratch/Nelya 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 "Finisha-F-scratch/Nelya" \ --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": "Finisha-F-scratch/Nelya", "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 "Finisha-F-scratch/Nelya" \ --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": "Finisha-F-scratch/Nelya", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Finisha-F-scratch/Nelya with Docker Model Runner:
docker model run hf.co/Finisha-F-scratch/Nelya
Exemples de génération
- Instruction:
Quelia eta la traduallia di la frazia 'La petite sœur a avant de jouer à la petite ses famille' ?
Response:
La traduallia eta 'La petillia suella aamaeya aamaeya aveya jucallia'.
- Instruction:
Quelia eta la conjugallia di 'curia' (courir) per 'Ti' a la présentallia, e 'Ji' a la passallia e que signallia celallia ?
Response:
La conjugallia eta 'Ji viaggia' (présentallia), e 'Ji viaggi' (futurallia), e 'Ji
- Quelia eta la collora di la cielia di la poullia ?
Response:
La collora di la cielia eta la virdia.
- instruction:
Quelia eta la capitalia di la Finlanda ?
Response:
La capitalia di la orra eta Helsinki.
- Quelia eta la traduallia di 'Ji sœur' ?
Response:
'Ji speriay' significa 'J'appelle'.
- Quelia eta la collora di la sanguinallia di la vieallia ?
Response:
La virdia di la marra eta la virdia.
- Quelia eta la monetallia di la Japonnia ?
Response:
La monetallia di la Japonnia eta la Japonnia.
- Quelia eta la conjugallia di 'viaggia' (voyager) per 'NiY' a la présentallia, e 'NiY' a la passallia ?
Response:
La conjugallia eta 'NiY viaggi' (présentallia), 'NiY viaggiaeya' (passallia), e 'NiY curiaeya' (Tu
- Quelia eta la pus grana îllia di la Africallia ?
Response:
La pus grana îllia eta la Sicilellia.
- Quelia eta la conjugallia di 'Relles fanaeri' (ils/elles fanae) per 'Relles' a la passallia e a la futurallia ?
Response:
La conjugallia eta 'Relles fanae' (présentallia) e 'Relles fanaes fanaes fanaes finirallia.