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

Libraries

How to use ryefoxlime/TADBot with Transformers:

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

pipe = pipeline("text-generation", model="ryefoxlime/TADBot")

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

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ryefoxlime/TADBot with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ryefoxlime/TADBot

SGLang

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

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

@@ -34,5 +34,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-.venv
-.env


34	*.zst filter=lfs diff=lfs merge=lfs -text
35	tfevents filter=lfs diff=lfs merge=lfs -text
36

+FER/models/__pycache__
 FER/__pycache__
+.env
+.venv

@@ -16,3 +16,4 @@ bitsandbytes==0.44.1
 accelerate==1.1.1
 tensorboard==2.18.0
 jsonlines==4.0.0

 accelerate==1.1.1
 tensorboard==2.18.0
 jsonlines==4.0.0
+timm==1.0.11

ryefoxlime
/

TADBot

removed pycache files and added them to .gitignore

@@ -1,2 +1,4 @@
-FER/models/__pycache__/
 FER/__pycache__

removed __pycache__ files and added them to .gitignore

removed pycache files and added them to .gitignore