Instructions to use stevenshoemaker/horror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevenshoemaker/horror with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="stevenshoemaker/horror")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("stevenshoemaker/horror") model = AutoModelForCausalLM.from_pretrained("stevenshoemaker/horror") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use stevenshoemaker/horror with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stevenshoemaker/horror" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stevenshoemaker/horror", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/stevenshoemaker/horror
- SGLang
How to use stevenshoemaker/horror 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 "stevenshoemaker/horror" \ --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": "stevenshoemaker/horror", "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 "stevenshoemaker/horror" \ --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": "stevenshoemaker/horror", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use stevenshoemaker/horror with Docker Model Runner:
docker model run hf.co/stevenshoemaker/horror
Commit Β·
e33188e
1
Parent(s): 50d8e9a
test2
Browse files- .gitattributes +0 -7
- model/added_tokens.json β added_tokens.json +0 -0
- model/config.json β config.json +0 -0
- model/merges.txt β merges.txt +0 -0
- model/pytorch_model.bin β pytorch_model.bin +0 -0
- model/special_tokens_map.json β special_tokens_map.json +0 -0
- model/tokenizer_config.json β tokenizer_config.json +0 -0
- model/vocab.json β vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -1,8 +1 @@
|
|
| 1 |
-
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
| 2 |
-
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 3 |
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
-
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
-
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 6 |
-
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
-
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 8 |
-
*.onnx filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
| 1 |
*.bin filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
model/added_tokens.json β added_tokens.json
RENAMED
|
File without changes
|
model/config.json β config.json
RENAMED
|
File without changes
|
model/merges.txt β merges.txt
RENAMED
|
File without changes
|
model/pytorch_model.bin β pytorch_model.bin
RENAMED
|
File without changes
|
model/special_tokens_map.json β special_tokens_map.json
RENAMED
|
File without changes
|
model/tokenizer_config.json β tokenizer_config.json
RENAMED
|
File without changes
|
model/vocab.json β vocab.json
RENAMED
|
File without changes
|