Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use yigagilbert/google_t5_language_ID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yigagilbert/google_t5_language_ID with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yigagilbert/google_t5_language_ID") model = AutoModelForSeq2SeqLM.from_pretrained("yigagilbert/google_t5_language_ID", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53cd0cbe6b4adbf84c4fc353df05fc97602dc6dda50d4fabc1e4ba3aef88a587
- Size of remote file:
- 6.03 kB
- SHA256:
- 86f427897e286675bf89c8e8088e6886f39ea29768b2634712a018b0667e9355
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