Instructions to use suku9/tokenizerz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/tokenizerz with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("suku9/tokenizerz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from suku9/tokenizerz: direct link, hf CLI and curl.
- Browser
- Download file 700 Bytes
-
https://huggingface.co/suku9/tokenizerz/resolve/main/config.json
- Command line
-
hf download hf://suku9/tokenizerz/config.json
-
curl -L -o config.json https://huggingface.co/suku9/tokenizerz/resolve/main/config.json
700 Bytes
| { | |
| "activation_function": "gelu_new", | |
| "attn_pdrop": 0.1, | |
| "bos_token_id": 3, | |
| "embd_pdrop": 0.1, | |
| "eos_token_id": 1, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "gpt2", | |
| "n_ctx": 128, | |
| "n_embd": 768, | |
| "n_head": 12, | |
| "n_inner": null, | |
| "n_layer": 12, | |
| "n_positions": 128, | |
| "pad_token_id": 0, | |
| "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, | |
| "transformers_version": "4.51.2", | |
| "use_cache": true, | |
| "vocab_size": 30 | |
| } | |