Instructions to use NLPnorth/snakmodel-7b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NLPnorth/snakmodel-7b-base with Transformers:

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

pipe = pipeline("text-generation", model="NLPnorth/snakmodel-7b-base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NLPnorth/snakmodel-7b-base")
model = AutoModelForCausalLM.from_pretrained("NLPnorth/snakmodel-7b-base")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NLPnorth/snakmodel-7b-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NLPnorth/snakmodel-7b-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NLPnorth/snakmodel-7b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NLPnorth/snakmodel-7b-base

SGLang

How to use NLPnorth/snakmodel-7b-base 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 "NLPnorth/snakmodel-7b-base" \
    --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": "NLPnorth/snakmodel-7b-base",
		"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 "NLPnorth/snakmodel-7b-base" \
        --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": "NLPnorth/snakmodel-7b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NLPnorth/snakmodel-7b-base with Docker Model Runner:
```
docker model run hf.co/NLPnorth/snakmodel-7b-base
```

jjzha commited on Nov 19, 2024

Commit

c078cb5

verified ·

1 Parent(s): 75887fa

Upload special_tokens_map.json with huggingface_hub

Browse files

Files changed (1) hide show

special_tokens_map.json +4 -25

special_tokens_map.json CHANGED Viewed

@@ -6,13 +6,6 @@
     "rstrip": false,
     "single_word": false
   },
-  "cls_token": {
-    "content": "<CLS>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
   "eos_token": {
     "content": "</s>",
     "lstrip": false,
@@ -20,32 +13,18 @@
     "rstrip": false,
     "single_word": false
   },
-  "mask_token": {
-    "content": "<MASK>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "pad_token": {
-    "content": "<PAD>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "sep_token": {
-    "content": "<SEP>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "<unk>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
   }
-}

     "rstrip": false,
     "single_word": false
   },
   "eos_token": {
     "content": "</s>",
     "lstrip": false,
     "rstrip": false,
     "single_word": false
   },
+  "unk_token": {
+    "content": "<unk>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "pad_token": {
+    "content": "</s>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
   }
+}