Instructions to use joaogante/tiny-random-gpt2-with-generation-config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaogante/tiny-random-gpt2-with-generation-config with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joaogante/tiny-random-gpt2-with-generation-config", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from joaogante/tiny-random-gpt2-with-generation-config: direct link, hf CLI and curl.
- Browser
- Download file 807 Bytes
-
https://huggingface.co/joaogante/tiny-random-gpt2-with-generation-config/resolve/main/config.json
- Command line
-
hf download hf://joaogante/tiny-random-gpt2-with-generation-config/config.json
-
curl -L -o config.json https://huggingface.co/joaogante/tiny-random-gpt2-with-generation-config/resolve/main/config.json
807 Bytes
| { | |
| "activation_function": "gelu_new", | |
| "attention_probs_dropout_prob": 0.1, | |
| "attn_pdrop": 0.1, | |
| "bos_token_id": 98, | |
| "embd_pdrop": 0.1, | |
| "eos_token_id": 98, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "gpt2", | |
| "n_ctx": 512, | |
| "n_embd": 32, | |
| "n_head": 4, | |
| "n_inner": null, | |
| "n_layer": 5, | |
| "n_positions": 512, | |
| "pad_token_id": 98, | |
| "resid_pdrop": 0.1, | |
| "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, | |
| "transformers_version": "4.11.0.dev0", | |
| "type_vocab_size": 16, | |
| "use_cache": true, | |
| "vocab_size": 1000 | |
| } | |