YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Model info
This is a BPE tokenizer retrained from scratch on the Wikitext-103 train, evaluation, and test sets. The vocabulary had 28,439 entries.
This tokenizer was used to tokenize text for the GPT-2-like transformer language model trained on Wikitext-103.
Usage
You can download the tokenizer directly from hub as follows:
from transformers import GPT2TokenizerFast
tokenizer = GPT2TokenizerFast.from_pretrained("Kristijan/wikitext-103-tokenizer_v2")
After cloning/downloading the files, you can load the tokenizer using the /from_pretrained() methods as follows:
from transformers import GPT2TokenizerFast
tokenizer = GPT2TokenizerFast.from_pretrained(path_to_folder_with_merges_and_vocab_files)
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.