Instructions to use 0Tick/danbooruTagAutocomplete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 0Tick/danbooruTagAutocomplete with Transformers:

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

pipe = pipeline("text-generation", model="0Tick/danbooruTagAutocomplete")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("0Tick/danbooruTagAutocomplete")
model = AutoModelForCausalLM.from_pretrained("0Tick/danbooruTagAutocomplete")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use 0Tick/danbooruTagAutocomplete with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "0Tick/danbooruTagAutocomplete"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0Tick/danbooruTagAutocomplete",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/0Tick/danbooruTagAutocomplete

SGLang

How to use 0Tick/danbooruTagAutocomplete 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 "0Tick/danbooruTagAutocomplete" \
    --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": "0Tick/danbooruTagAutocomplete",
		"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 "0Tick/danbooruTagAutocomplete" \
        --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": "0Tick/danbooruTagAutocomplete",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use 0Tick/danbooruTagAutocomplete with Docker Model Runner:
```
docker model run hf.co/0Tick/danbooruTagAutocomplete
```

0Tick commited on Jun 8, 2023

Commit

386ce94

1 Parent(s): 7fe18e4

Upload version with tags in posts shuffled before training

Browse files

This model was trained on the same dataset but the tags from each post were shuffled before used for training

Files changed (7) hide show

config.json +1 -1
merges.txt +1 -1
pytorch_model.bin +2 -2
runs/Jun08_11-12-20_671aa6aed209/events.out.tfevents.1686222803.671aa6aed209.1153.0 +3 -0
runs/Jun08_11-12-20_671aa6aed209/events.out.tfevents.1686232154.671aa6aed209.1153.1 +3 -0
tokenizer.json +1 -0
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -40,7 +40,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.27.0.dev0",
   "use_cache": true,
   "vocab_size": 50257
 }

     }
   },
   "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
   "use_cache": true,
   "vocab_size": 50257
 }

merges.txt CHANGED Viewed

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
 Ġ t
 Ġ a
 h e

+#version: 0.2
 Ġ t
 Ġ a
 h e

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tokenizer.json CHANGED Viewed

@@ -39,6 +39,7 @@
     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
     "vocab": {
       "!": 0,
       "\"": 1,

     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
+    "byte_fallback": false,
     "vocab": {
       "!": 0,
       "\"": 1,

tokenizer_config.json CHANGED Viewed

@@ -1,9 +1,9 @@
 {
   "add_prefix_space": false,
   "bos_token": "<|endoftext|>",
   "eos_token": "<|endoftext|>",
   "model_max_length": 1024,
-  "special_tokens_map_file": null,
   "tokenizer_class": "GPT2Tokenizer",
   "unk_token": "<|endoftext|>"
 }

 {
   "add_prefix_space": false,
   "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
   "eos_token": "<|endoftext|>",
   "model_max_length": 1024,
   "tokenizer_class": "GPT2Tokenizer",
   "unk_token": "<|endoftext|>"
 }