Instructions to use blesspearl/math-stackexchange with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use blesspearl/math-stackexchange with Transformers:

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

pipe = pipeline("text-generation", model="blesspearl/math-stackexchange")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("blesspearl/math-stackexchange")
model = AutoModelForCausalLM.from_pretrained("blesspearl/math-stackexchange", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use blesspearl/math-stackexchange with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/blesspearl/math-stackexchange

SGLang

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

Docker Model Runner
How to use blesspearl/math-stackexchange with Docker Model Runner:
```
docker model run hf.co/blesspearl/math-stackexchange
```

blesspearl commited on Jul 30, 2024

Commit

e60dc35

verified ·

1 Parent(s): 2a1b308

Upload tokenizer

Browse files

Files changed (3) hide show

special_tokens_map.json +2 -1
tokenizer.json +9 -0
tokenizer_config.json +9 -0

special_tokens_map.json CHANGED Viewed

@@ -12,5 +12,6 @@
     "normalized": false,
     "rstrip": false,
     "single_word": false
-  }
 }

     "normalized": false,
     "rstrip": false,
     "single_word": false
+  },
+  "pad_token": "<|end_of_text|>"
 }

tokenizer.json CHANGED Viewed

@@ -2306,6 +2306,15 @@
       "rstrip": false,
       "normalized": false,
       "special": true
     }
   ],
   "normalizer": null,

       "rstrip": false,
       "normalized": false,
       "special": true
+    },
+    {
+      "id": 128256,
+      "content": "[PAD]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
     }
   ],
   "normalizer": null,

tokenizer_config.json CHANGED Viewed

@@ -2047,6 +2047,14 @@
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
   "bos_token": "<|begin_of_text|>",
@@ -2057,5 +2065,6 @@
     "attention_mask"
   ],
   "model_max_length": 131072,
   "tokenizer_class": "PreTrainedTokenizerFast"
 }

       "rstrip": false,
       "single_word": false,
       "special": true
+    },
+    "128256": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
     }
   },
   "bos_token": "<|begin_of_text|>",
     "attention_mask"
   ],
   "model_max_length": 131072,
+  "pad_token": "<|end_of_text|>",
   "tokenizer_class": "PreTrainedTokenizerFast"
 }