Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use devagonal/mt5-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/mt5-semantic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/mt5-semantic") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/mt5-semantic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d3fa607212435916addd3e333c74abda27d8ad5428e19df937a45049236811a
- Size of remote file:
- 4.79 kB
- SHA256:
- f6ed41cdf562dfc659f6a0f602b4a1d0391d8af5b7d075d03da4d8950b060601
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