Transformers
Safetensors
Portuguese
t5
text2text-generation
g2p
ipa
byt5
portuguese-brazilian
seq2seq
dialect
text-generation-inference
Instructions to use thiagomonteles/BIPA_g2p_Multidialect_Byt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thiagomonteles/BIPA_g2p_Multidialect_Byt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thiagomonteles/BIPA_g2p_Multidialect_Byt5") model = AutoModelForSeq2SeqLM.from_pretrained("thiagomonteles/BIPA_g2p_Multidialect_Byt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a7bef2d3a461354d105a54308c333d3a92b77fd8b1b71568b53e9206010b951
- Size of remote file:
- 1.2 GB
- SHA256:
- c89d605cc70a5cd34d85718ddd91db1d5736750eecf67b68b37366fafb11d2aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.