Instructions to use Sakalti/kanide.ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakalti/kanide.ai with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sakalti/kanide.ai", device_map="auto") - Transformers.js
How to use Sakalti/kanide.ai with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Sakalti/kanide.ai: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
-
https://huggingface.co/Sakalti/kanide.ai/resolve/main/tokenizer.json
- Command line
-
hf download hf://Sakalti/kanide.ai/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Sakalti/kanide.ai/resolve/main/tokenizer.json
788 Bytes
| { | |
| "model_type": "bert", | |
| "vocab_size": 32000, | |
| "type_vocab_size": 2, | |
| "padding_id": 0, | |
| "unk_id": 1, | |
| "cls_id": 2, | |
| "sep_id": 3, | |
| "mask_id": 4, | |
| "normalizer": null, | |
| "pretokenizer": { | |
| "type": "ByteLevel", | |
| "add_prefix_space": true | |
| }, | |
| "postprocessor": { | |
| "type": "TemplateProcessing", | |
| "single": { | |
| "template": "{input} </s>", | |
| "special_tokens": [ | |
| { | |
| "id": 2, | |
| "content": "</s>" | |
| } | |
| ] | |
| }, | |
| "pair": { | |
| "template": "{pair} </s>", | |
| "special_tokens": [ | |
| { | |
| "id": 2, | |
| "content": "</s>" | |
| } | |
| ] | |
| } | |
| } | |
| } |