Instructions to use dnagpt/gene_eng_gpt2_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dnagpt/gene_eng_gpt2_v2 with Transformers:

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

pipe = pipeline("text-generation", model="dnagpt/gene_eng_gpt2_v2")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("dnagpt/gene_eng_gpt2_v2")
model = AutoModelForCausalLM.from_pretrained("dnagpt/gene_eng_gpt2_v2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dnagpt/gene_eng_gpt2_v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dnagpt/gene_eng_gpt2_v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dnagpt/gene_eng_gpt2_v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/dnagpt/gene_eng_gpt2_v2

SGLang

How to use dnagpt/gene_eng_gpt2_v2 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 "dnagpt/gene_eng_gpt2_v2" \
    --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": "dnagpt/gene_eng_gpt2_v2",
		"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 "dnagpt/gene_eng_gpt2_v2" \
        --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": "dnagpt/gene_eng_gpt2_v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use dnagpt/gene_eng_gpt2_v2 with Docker Model Runner:
```
docker model run hf.co/dnagpt/gene_eng_gpt2_v2
```

marisming commited on Sep 19, 2025

Commit

0ab1e8b

verified ·

1 Parent(s): bf922d3

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +8 -18

tokenizer_config.json CHANGED Viewed

@@ -1,10 +1,7 @@
 {
-  "add_bos_token": true,
-  "add_eos_token": false,
-  "add_prefix_space": true,
   "added_tokens_decoder": {
     "0": {
-      "content": "<unk>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -12,7 +9,7 @@
       "special": true
     },
     "1": {
-      "content": "<s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -20,7 +17,7 @@
       "special": true
     },
     "2": {
-      "content": "</s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -28,17 +25,10 @@
       "special": true
     }
   },
-  "bos_token": "<s>",
-  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '<s>[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' </s>' }}{% endif %}{% endfor %}",
   "clean_up_tokenization_spaces": false,
-  "eos_token": "</s>",
-  "legacy": true,
   "model_max_length": 1000000000000000019884624838656,
-  "pad_token": null,
-  "sp_model_kwargs": {},
-  "spaces_between_special_tokens": false,
-  "tokenizer_class": "LlamaTokenizer",
-  "unk_token": "<unk>",
-  "use_default_system_prompt": false,
-  "use_fast": true
-}

 {
   "added_tokens_decoder": {
     "0": {
+      "content": "<|endoftext|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     },
     "1": {
+      "content": "<pad>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     },
     "2": {
+      "content": "<unk>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     }
   },
   "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
   "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "<unk>"
+}