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:
- 39c400000d04dad2f45589ef60978e51346c61e7c9a93b783a9431101e0f5d6e
- Size of remote file:
- 3.5 kB
- SHA256:
- 72520dad723b2979c0b4933b10f364b24adda65706c716672ddce244ca9adb4c
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