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

Libraries

How to use SedatAl/Turkish_Law_ChatBot with Transformers:

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

pipe = pipeline("text-generation", model="SedatAl/Turkish_Law_ChatBot")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("SedatAl/Turkish_Law_ChatBot", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SedatAl/Turkish_Law_ChatBot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SedatAl/Turkish_Law_ChatBot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SedatAl/Turkish_Law_ChatBot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SedatAl/Turkish_Law_ChatBot

SGLang

How to use SedatAl/Turkish_Law_ChatBot 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 "SedatAl/Turkish_Law_ChatBot" \
    --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": "SedatAl/Turkish_Law_ChatBot",
		"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 "SedatAl/Turkish_Law_ChatBot" \
        --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": "SedatAl/Turkish_Law_ChatBot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio new

How to use SedatAl/Turkish_Law_ChatBot 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 SedatAl/Turkish_Law_ChatBot 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 SedatAl/Turkish_Law_ChatBot to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SedatAl/Turkish_Law_ChatBot to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="SedatAl/Turkish_Law_ChatBot",
    max_seq_length=2048,
)

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

SedatAl commited on Dec 25, 2024

Commit

6956135

verified ·

1 Parent(s): 374513d

Delete config.json

Browse files

Files changed (1) hide show

config.json +0 -50

config.json DELETED Viewed

@@ -1,50 +0,0 @@
-{
-  "_name_or_path": "SedatAl/Turkish_Law_ChatBot",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "eos_token_id": 128001,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pad_token_id": 128004,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 8.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.44.2",
-  "unsloth_version": "2024.9",
-  "use_cache": true,
-  "vocab_size": 128256,
-  "task_type": "CAUSAL_LM",
-  "lora_alpha": 16,
-  "lora_dropout": 0.0,
-  "peft_type": "LORA",
-  "target_modules": [
-    "up_proj",
-    "o_proj",
-    "q_proj",
-    "gate_proj",
-    "v_proj",
-    "k_proj",
-    "down_proj"
-  ]
-}