Graph Machine Learning
Transformers
Safetensors
graphs_gpt_conditioned
text-generation
biology
medical
chemistry
Instructions to use DaizeDong/GraphsGPT-1W-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaizeDong/GraphsGPT-1W-C with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("DaizeDong/GraphsGPT-1W-C", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from DaizeDong/GraphsGPT-1W-C: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/DaizeDong/GraphsGPT-1W-C/resolve/4cff7f888f2acaa9dd2fc0c9867069ed36f60648/tokenizer_config.json
- Command line
-
hf download hf://DaizeDong/GraphsGPT-1W-C@4cff7f888f2acaa9dd2fc0c9867069ed36f60648/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/DaizeDong/GraphsGPT-1W-C/resolve/4cff7f888f2acaa9dd2fc0c9867069ed36f60648/tokenizer_config.json
171 Bytes
| { | |
| "added_tokens_decoder": {}, | |
| "clean_up_tokenization_spaces": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "GraphsGPTTokenizer" | |
| } | |