Text Generation
Transformers
Safetensors
English
gpt2
generation
safety
model-editing
editing
activation-steering
activation-editing
dpo
rlhf
profs
detox
toxicity
iclr
iclr2025
text-generation-inference
Instructions to use Uppaal/gpt2-ProFS-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uppaal/gpt2-ProFS-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Uppaal/gpt2-ProFS-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Uppaal/gpt2-ProFS-toxicity") model = AutoModelForCausalLM.from_pretrained("Uppaal/gpt2-ProFS-toxicity") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Uppaal/gpt2-ProFS-toxicity with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Uppaal/gpt2-ProFS-toxicity" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Uppaal/gpt2-ProFS-toxicity", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Uppaal/gpt2-ProFS-toxicity
- SGLang
How to use Uppaal/gpt2-ProFS-toxicity 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 "Uppaal/gpt2-ProFS-toxicity" \ --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": "Uppaal/gpt2-ProFS-toxicity", "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 "Uppaal/gpt2-ProFS-toxicity" \ --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": "Uppaal/gpt2-ProFS-toxicity", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Uppaal/gpt2-ProFS-toxicity with Docker Model Runner:
docker model run hf.co/Uppaal/gpt2-ProFS-toxicity
Upload tokenizer
Browse files- tokenizer.json +14 -2
tokenizer.json
CHANGED
|
@@ -1,7 +1,19 @@
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
-
"truncation":
|
| 4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
"added_tokens": [
|
| 6 |
{
|
| 7 |
"id": 50256,
|
|
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
+
"truncation": {
|
| 4 |
+
"direction": "Right",
|
| 5 |
+
"max_length": 128,
|
| 6 |
+
"strategy": "LongestFirst",
|
| 7 |
+
"stride": 0
|
| 8 |
+
},
|
| 9 |
+
"padding": {
|
| 10 |
+
"strategy": "BatchLongest",
|
| 11 |
+
"direction": "Right",
|
| 12 |
+
"pad_to_multiple_of": null,
|
| 13 |
+
"pad_id": 50256,
|
| 14 |
+
"pad_type_id": 0,
|
| 15 |
+
"pad_token": "<|endoftext|>"
|
| 16 |
+
},
|
| 17 |
"added_tokens": [
|
| 18 |
{
|
| 19 |
"id": 50256,
|