Instructions to use Sergeial1972-user/FAM-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sergeial1972-user/FAM-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sergeial1972-user/FAM-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
tags: []
Model Card for Model ID
This is a tokenizer used in FAM model
Tokenizer Details
- Architecture: BPE
- Normalizer: BertNormalizer
- Pre-tokenizer: BertPreTokenizer
- Special tokens: [UNK], [PAD], [CLS], [SEP], [MASK]
- Dataset:
- Languages: English
Tokenizer training noteboook: