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:
- 0e33edbe5e34c649e2c03ce3910159da4a4852a8d42cb5c2b717c4a8aecb3976
- Size of remote file:
- 1.94 GB
- SHA256:
- b1ee9de22a7444b0e4dd57e10d6f68072a8482e87b18262a42d551ed46b80cdc
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