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
| 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: | |