Instructions to use ai-forever/rugpt2large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/rugpt2large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ai-forever/rugpt2large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "attn_pdrop": 0.1, | |
| "bos_token_id": 1, | |
| "embd_pdrop": 0.1, | |
| "eos_token_id": 2, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "gpt2", | |
| "n_ctx": 1024, | |
| "n_embd": 1280, | |
| "n_head": 20, | |
| "n_inner": null, | |
| "n_layer": 36, | |
| "n_positions": 1024, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "resid_pdrop": 0.1, | |
| "summary_activation": null, | |
| "summary_first_dropout": 0.1, | |
| "summary_proj_to_labels": true, | |
| "summary_type": "cls_index", | |
| "summary_use_proj": true, | |
| "use_cache": true, | |
| "vocab_size": 50257 | |
| } | |