Translation
Transformers
PyTorch
Safetensors
Belarusian
English
Russian
t5
text2text-generation
text-generation-inference
Instructions to use WelfCrozzo/T5-L128-belarusian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WelfCrozzo/T5-L128-belarusian 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="WelfCrozzo/T5-L128-belarusian")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WelfCrozzo/T5-L128-belarusian") model = AutoModelForSeq2SeqLM.from_pretrained("WelfCrozzo/T5-L128-belarusian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from WelfCrozzo/T5-L128-belarusian: direct link, hf CLI and curl.
- Browser
- Download file 82.7 MB
-
https://huggingface.co/WelfCrozzo/T5-L128-belarusian/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://WelfCrozzo/T5-L128-belarusian@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/WelfCrozzo/T5-L128-belarusian/resolve/refs%2Fpr%2F2/pytorch_model.bin
82.7 MB
- Xet hash:
- ef2ccf7a7f166b1e4690cd2324f0bc33ef4bad0c41cbe41f182fe9da29a182de
- Size of remote file:
- 82.7 MB
- SHA256:
- be4ad0999d0c2ad9e5f4d0e44a1653e9446fb35b69671ac266c624ac4efe4d45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.