Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/tokenizers/implementations/__init__.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 310 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/tokenizers/implementations/__init__.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/tokenizers/implementations/__init__.py
-
curl -L -o __init__.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/tokenizers/implementations/__init__.py
310 Bytes
| from .base_tokenizer import BaseTokenizer | |
| from .bert_wordpiece import BertWordPieceTokenizer | |
| from .byte_level_bpe import ByteLevelBPETokenizer | |
| from .char_level_bpe import CharBPETokenizer | |
| from .sentencepiece_bpe import SentencePieceBPETokenizer | |
| from .sentencepiece_unigram import SentencePieceUnigramTokenizer | |