Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use felerminoali/mt5_pt_vmw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felerminoali/mt5_pt_vmw with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("felerminoali/mt5_pt_vmw") model = AutoModelForSeq2SeqLM.from_pretrained("felerminoali/mt5_pt_vmw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a2832376fd03e41a08284a2221bded258ab7df52dc9f36b0f7152283a57d5d3
- Size of remote file:
- 16.3 MB
- SHA256:
- 269230ac5be0b04eb250e30994be7b79e3979440f04b353432c32b168e3794dc
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