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:
- ac2aaa2ed9f0cc8abfae76b92fda222fd70c35ae9cec3e18ac29f732e56aa64a
- Size of remote file:
- 1.94 GB
- SHA256:
- d2c07954e8676dac2f1b80e5eb6ca0008bbfa13767aea2cc5e9fea2fde00d6f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.