Translation
Transformers
Safetensors
Ukrainian
m2m_100
text2text-generation
surzhyk
ukrainian
text-normalization
seq2seq
nllb
qlora
Instructions to use vlddshk/SyrzykAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vlddshk/SyrzykAI 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="vlddshk/SyrzykAI")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vlddshk/SyrzykAI") model = AutoModelForSeq2SeqLM.from_pretrained("vlddshk/SyrzykAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vlddshk/SyrzykAI: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/vlddshk/SyrzykAI/resolve/main/tokenizer.json
- Command line
-
hf download hf://vlddshk/SyrzykAI/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vlddshk/SyrzykAI/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 9066e209dd714defdc1d8f61f444df191f1df512629361b29f127184e2a25042
- Size of remote file:
- 32.2 MB
- SHA256:
- 4bc52a2bf2c786c228381e6c1b4a47e4a66fb7f342666c3ab8ba56c5f719bea6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.