Instructions to use SzegedAI/hubertusz-medium-wiki-seq128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/hubertusz-medium-wiki-seq128 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("SzegedAI/hubertusz-medium-wiki-seq128") model = AutoModelForPreTraining.from_pretrained("SzegedAI/hubertusz-medium-wiki-seq128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c034dfa7efd8a520b4f208eaa79a9502689d1a7b54c67f606b1fc81cbd977608
- Size of remote file:
- 170 MB
- SHA256:
- 4d0989c83e2e82dde0c29bb10d21db66d110ffb00052faeffe5f08990a03e811
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.