Transformers
PyTorch
TensorBoard
Safetensors
Polish
English
m2m_100
text2text-generation
machine translation
iva
virtual assistants
natural-language-understanding
nlu
Instructions to use cartesinus/iva_mt_wslot-m2m100_418M-en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cartesinus/iva_mt_wslot-m2m100_418M-en-pl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cartesinus/iva_mt_wslot-m2m100_418M-en-pl") model = AutoModelForSeq2SeqLM.from_pretrained("cartesinus/iva_mt_wslot-m2m100_418M-en-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6b2432001389a6f9cf27f1c43eb78d76058160a55141878a525c4de67c37fe0
- Size of remote file:
- 2.42 MB
- SHA256:
- d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.