Instructions to use White/white-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use White/white-bot with Transformers:

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

pipe = pipeline("text-generation", model="White/white-bot")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("White/white-bot")
model = AutoModelForCausalLM.from_pretrained("White/white-bot")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use White/white-bot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "White/white-bot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "White/white-bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/White/white-bot

SGLang

How to use White/white-bot 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 "White/white-bot" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "White/white-bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "White/white-bot" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "White/white-bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use White/white-bot with Docker Model Runner:
```
docker model run hf.co/White/white-bot
```

White commited on Sep 6, 2021

Commit

ea91580

1 Parent(s): f5149ef

Commit 2 (more data)

Browse files

Files changed (5) hide show

config.json +4 -4
eval_results.txt +1 -1
pytorch_model.bin +2 -2
tokenizer_config.json +1 -1
training_args.bin +1 -1

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/DialoGPT-small",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -13,10 +13,10 @@
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
   "n_ctx": 1024,
-  "n_embd": 768,
-  "n_head": 12,
   "n_inner": null,
-  "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
   "scale_attn_weights": true,

 {
+  "_name_or_path": "microsoft/DialoGPT-medium",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
   "n_ctx": 1024,
+  "n_embd": 1024,
+  "n_head": 16,
   "n_inner": null,
+  "n_layer": 24,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
   "scale_attn_weights": true,

eval_results.txt CHANGED Viewed

	@@ -1 +1 @@
1	- perplexity = tensor(11.~~7355~~)


1	+ perplexity = tensor(4.9559)

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:222d34f9be65cdb1a77b3ff52227e4bd806da1691e34fdf099b5712b4509fadc
-size 510403817

 version https://git-lfs.github.com/spec/v1
+oid sha256:6149b773ff7cc4e0a96c4110eb185f512917d3685d4e77b0a2fd462b30e2cfb7
+size 1444581337

tokenizer_config.json CHANGED Viewed

@@ -1 +1 @@

- {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "microsoft/DialoGPT-~~small~~", "errors": "replace", "tokenizer_class": "GPT2Tokenizer"}

+ {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "microsoft/DialoGPT-medium", "errors": "replace", "tokenizer_class": "GPT2Tokenizer"}

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a94e01f14186e49a4cd81b8a099c1983ed4acca0d937a72e6cf8e2fceaa61936
 size 1327

 version https://git-lfs.github.com/spec/v1
+oid sha256:74264348cf54c5c4b9c5afa6bff3fc3fbecef7ad55528e9a305d6d04f7bcd80c
 size 1327