Instructions to use Ife/ES-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ife/ES-PT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ife/ES-PT") model = AutoModelForSeq2SeqLM.from_pretrained("Ife/ES-PT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 008197f94a08da8d9029e5fa1958603e0b32dafb3658fc218eaea81783ac8490
- Size of remote file:
- 623 Bytes
- SHA256:
- 02813dcc2085851c20da10a78140421ebd1a171ca24a5b6d5d6b8fe6d0f2dde9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.