Instructions to use delen/Chart2Text-Vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delen/Chart2Text-Vanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="delen/Chart2Text-Vanilla")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("delen/Chart2Text-Vanilla") model = AutoModelForCausalLM.from_pretrained("delen/Chart2Text-Vanilla") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use delen/Chart2Text-Vanilla with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "delen/Chart2Text-Vanilla" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "delen/Chart2Text-Vanilla", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/delen/Chart2Text-Vanilla
- SGLang
How to use delen/Chart2Text-Vanilla 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 "delen/Chart2Text-Vanilla" \ --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": "delen/Chart2Text-Vanilla", "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 "delen/Chart2Text-Vanilla" \ --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": "delen/Chart2Text-Vanilla", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use delen/Chart2Text-Vanilla with Docker Model Runner:
docker model run hf.co/delen/Chart2Text-Vanilla
Upload tokenizer
Browse files- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
special_tokens_map.json
CHANGED
|
@@ -14,7 +14,7 @@
|
|
| 14 |
"single_word": false
|
| 15 |
},
|
| 16 |
"pad_token": {
|
| 17 |
-
"content": "<|
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
|
|
|
| 14 |
"single_word": false
|
| 15 |
},
|
| 16 |
"pad_token": {
|
| 17 |
+
"content": "<|reserved_special_token_250|>",
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
tokenizer_config.json
CHANGED
|
@@ -2057,7 +2057,7 @@
|
|
| 2057 |
"attention_mask"
|
| 2058 |
],
|
| 2059 |
"model_max_length": 8192,
|
| 2060 |
-
"pad_token": "<|
|
| 2061 |
"padding_side": "left",
|
| 2062 |
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
}
|
|
|
|
| 2057 |
"attention_mask"
|
| 2058 |
],
|
| 2059 |
"model_max_length": 8192,
|
| 2060 |
+
"pad_token": "<|reserved_special_token_250|>",
|
| 2061 |
"padding_side": "left",
|
| 2062 |
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
}
|