Text Generation
Transformers
Safetensors
English
DexV1
fill-mask
DexAI
Dexai
dexai
DEX-Modle
IND-Dec
AI-Dexhat
CSAI
CybersecurityDex
Dexhat
text-generation-inference
Ghosthets
ghosthets-dex
Dex-ghosthets
ghosthets-ai
ghosthets-dex-ai
Dex-community
Dextron
Instructions to use ghosthets/Dex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghosthets/Dex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ghosthets/Dex")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("ghosthets/Dex", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ghosthets/Dex with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ghosthets/Dex" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ghosthets/Dex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ghosthets/Dex
- SGLang
How to use ghosthets/Dex 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 "ghosthets/Dex" \ --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": "ghosthets/Dex", "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 "ghosthets/Dex" \ --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": "ghosthets/Dex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ghosthets/Dex with Docker Model Runner:
docker model run hf.co/ghosthets/Dex
ghosthets commited on
Commit ·
ed03bab
1
Parent(s): 1c6505e
Replaced .bin with .safetensors for Dex model
Browse files
pytorch_model.bin → model.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c7db65fcbf8f5cbbd0d60755c2a33089ca80ea0bb290324cc731b8a0e0c16c6
|
| 3 |
+
size 497774208
|