Transformers
PyTorch
English
Romanian
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Lucapro/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lucapro/test-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lucapro/test-model") model = AutoModelForSeq2SeqLM.from_pretrained("Lucapro/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a9ab9d2ef7891c18a7d40b22db1dfb9770fa1da62e9fd2ac1f0e5dcda1cdf46
- Size of remote file:
- 242 MB
- SHA256:
- 2a0bdd24e9e85dbe2f5414bf0cfae30daea1615327a2fd72cd5142a5aa8d1529
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