Instructions to use tdc/scGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tdc/scGPT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tdc/scGPT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ScGPTModel" | |
| ], | |
| "cell_emb_style": "cls", | |
| "d_hid": 512, | |
| "dropout": 0.0, | |
| "embsize": 512, | |
| "explicit_zero_prob": false, | |
| "input_emb_style": "continuous", | |
| "max_seq_len": 1536, | |
| "model_type": "scgpt", | |
| "nhead": 8, | |
| "nlayers": 12, | |
| "norm_scheme": "post", | |
| "pad_token_id": 0, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.43.4", | |
| "use_fast_transformer": true, | |
| "use_flash_attention": false, | |
| "vocab_size": 60697 | |
| } | |