Instructions to use Moonn1205/AntigenLM-subtype-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moonn1205/AntigenLM-subtype-classifier with Transformers:
# Load model directly from transformers import AutoTokenizer, GPTForFluMultiTask tokenizer = AutoTokenizer.from_pretrained("Moonn1205/AntigenLM-subtype-classifier") model = GPTForFluMultiTask.from_pretrained("Moonn1205/AntigenLM-subtype-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation_function": "gelu_new", | |
| "architectures": [ | |
| "GPTForFluMultiTask" | |
| ], | |
| "attn_pdrop": 0.1, | |
| "bos_token_id": 50256, | |
| "embd_pdrop": 0.1, | |
| "eos_token_id": 50256, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "gpt2", | |
| "n_embd": 384, | |
| "n_head": 6, | |
| "n_inner": null, | |
| "n_layer": 6, | |
| "n_positions": 13000, | |
| "reorder_and_upcast_attn": false, | |
| "resid_pdrop": 0.1, | |
| "scale_attn_by_inverse_layer_idx": false, | |
| "scale_attn_weights": true, | |
| "summary_activation": null, | |
| "summary_first_dropout": 0.1, | |
| "summary_proj_to_labels": true, | |
| "summary_type": "cls_index", | |
| "summary_use_proj": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.29.2", | |
| "use_cache": true, | |
| "vocab_size": 10, | |
| "label2id": { | |
| "H10N3": 0, | |
| "H10N8": 1, | |
| "H1N1": 2, | |
| "H1N2": 3, | |
| "H2N2": 4, | |
| "H3N2": 5, | |
| "H3N8": 6, | |
| "H5N1": 7, | |
| "H5N6": 8, | |
| "H7N4": 9, | |
| "H7N9": 10, | |
| "H9N2": 11 | |
| }, | |
| "id2label": { | |
| "0": "H10N3", | |
| "1": "H10N8", | |
| "2": "H1N1", | |
| "3": "H1N2", | |
| "4": "H2N2", | |
| "5": "H3N2", | |
| "6": "H3N8", | |
| "7": "H5N1", | |
| "8": "H5N6", | |
| "9": "H7N4", | |
| "10": "H7N9", | |
| "11": "H9N2" | |
| } | |
| } | |