Translation
Transformers
Safetensors
Sinhala
English
t5
text2text-generation
singlish
sinhala
byt5
character-level
two-stage-training
text-generation-inference
Instructions to use savinugunarathna/ByT5-Small-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savinugunarathna/ByT5-Small-fine-tuned with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="savinugunarathna/ByT5-Small-fine-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("savinugunarathna/ByT5-Small-fine-tuned") model = AutoModelForMultimodalLM.from_pretrained("savinugunarathna/ByT5-Small-fine-tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d8b622464ca7e8bcb06a71502b5bada19e9af3ef385509eff3678989ed6daaa
- Size of remote file:
- 1.2 GB
- SHA256:
- 02bedc27b7ea341d3e86c91941010a1d74f03a642a38805a92bbda16c4fe7943
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