Instructions to use VariableZee/DialoGPT-small-ivylia03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VariableZee/DialoGPT-small-ivylia03 with Transformers:

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

pipe = pipeline("text-generation", model="VariableZee/DialoGPT-small-ivylia03")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("VariableZee/DialoGPT-small-ivylia03")
model = AutoModelForCausalLM.from_pretrained("VariableZee/DialoGPT-small-ivylia03")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use VariableZee/DialoGPT-small-ivylia03 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VariableZee/DialoGPT-small-ivylia03"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VariableZee/DialoGPT-small-ivylia03",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/VariableZee/DialoGPT-small-ivylia03

SGLang

How to use VariableZee/DialoGPT-small-ivylia03 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 "VariableZee/DialoGPT-small-ivylia03" \
    --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": "VariableZee/DialoGPT-small-ivylia03",
		"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 "VariableZee/DialoGPT-small-ivylia03" \
        --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": "VariableZee/DialoGPT-small-ivylia03",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use VariableZee/DialoGPT-small-ivylia03 with Docker Model Runner:
```
docker model run hf.co/VariableZee/DialoGPT-small-ivylia03
```

VariableZee commited on Oct 26, 2021

Commit

508a48f

1 Parent(s): 5a032d8

Update model

Browse files

Files changed (4) hide show

config.json +2 -3
eval_results.txt +1 -1
pytorch_model.bin +1 -1
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -8,6 +8,7 @@
   "bos_token_id": 50256,
   "embd_pdrop": 0.1,
   "eos_token_id": 50256,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
@@ -18,7 +19,6 @@
   "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
-  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
@@ -29,8 +29,7 @@
       "max_length": 1000
     }
   },
-  "torch_dtype": "float32",
-  "transformers_version": "4.11.3",
   "use_cache": true,
   "vocab_size": 50257
 }

   "bos_token_id": 50256,
   "embd_pdrop": 0.1,
   "eos_token_id": 50256,
+  "gradient_checkpointing": false,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
   "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
       "max_length": 1000
     }
   },
+  "transformers_version": "4.5.1",
   "use_cache": true,
   "vocab_size": 50257
 }

eval_results.txt CHANGED Viewed

	@@ -1 +1 @@
1	- perplexity = tensor(23.~~8079~~)


1	+ perplexity = tensor(29.3612)

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
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-oid sha256:44ec045983bc9246842a8731795ab37d5993af3de6f6b0c71bd02992f1c361b3
 size 510403817

 version https://git-lfs.github.com/spec/v1
+oid sha256:3351b33568e477ce26c7510c209d50751cf248d2ac53d6de9294afe52b637fd5
 size 510403817

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-small", "errors": "replace"}