Instructions to use guymorlan/TokenizerLabeller with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guymorlan/TokenizerLabeller with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guymorlan/TokenizerLabeller") model = AutoModelForSeq2SeqLM.from_pretrained("guymorlan/TokenizerLabeller") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea881e55c7246206666c13b30faf5b2b050f154ab38f9f2b4235ecb3b94e1f0c
- Size of remote file:
- 308 MB
- SHA256:
- bcdd4988e6b9b95bf78c99e638e151309f052a870521275ccabe13b9016b1443
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.