Instructions to use HiTZ/mt-hitz-es-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/mt-hitz-es-eu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HiTZ/mt-hitz-es-eu") model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/mt-hitz-es-eu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acafc39748876ab98382715662e09affd1a3f3ee1585c09472b326bbdf7abfa7
- Size of remote file:
- 154 MB
- SHA256:
- 47f33b05f4ca0d5908cfef4957bc769a7b3baa7e036228e87bd9399ffa784fb2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.