Instructions to use coderop12/Legal_final_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use coderop12/Legal_final_summarization with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf coderop12/Legal_final_summarization:Q4_K_M # Run inference directly in the terminal: llama cli -hf coderop12/Legal_final_summarization:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf coderop12/Legal_final_summarization:Q4_K_M # Run inference directly in the terminal: llama cli -hf coderop12/Legal_final_summarization:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf coderop12/Legal_final_summarization:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf coderop12/Legal_final_summarization:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf coderop12/Legal_final_summarization:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf coderop12/Legal_final_summarization:Q4_K_M
Use Docker
docker model run hf.co/coderop12/Legal_final_summarization:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use coderop12/Legal_final_summarization with Ollama:
ollama run hf.co/coderop12/Legal_final_summarization:Q4_K_M
- Unsloth Studio
How to use coderop12/Legal_final_summarization with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for coderop12/Legal_final_summarization to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for coderop12/Legal_final_summarization to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for coderop12/Legal_final_summarization to start chatting
- Atomic Chat new
- Docker Model Runner
How to use coderop12/Legal_final_summarization with Docker Model Runner:
docker model run hf.co/coderop12/Legal_final_summarization:Q4_K_M
- Lemonade
How to use coderop12/Legal_final_summarization with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull coderop12/Legal_final_summarization:Q4_K_M
Run and chat with the model
lemonade run user.Legal_final_summarization-Q4_K_M
List all available models
lemonade list
File size: 1,398 Bytes
4db9d5b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {
"add_bos_token": true,
"add_eos_token": false,
"add_prefix_space": null,
"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"bos_token": "<s>",
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"extra_special_tokens": {},
"legacy": false,
"model_max_length": 2048,
"pad_token": "</s>",
"padding_side": "right",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|