Translation
Transformers
Safetensors
Tooro
Nyoro
Ganda
m2m_100
text2text-generation
nllb-200
rutooro
Instructions to use cle-13/nllb-tooro-ttj-patched with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cle-13/nllb-tooro-ttj-patched 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="cle-13/nllb-tooro-ttj-patched")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cle-13/nllb-tooro-ttj-patched") model = AutoModelForSeq2SeqLM.from_pretrained("cle-13/nllb-tooro-ttj-patched", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sentencepiece.bpe.model from cle-13/nllb-tooro-ttj-patched: direct link, hf CLI and curl.
- Browser
- Download file 4.85 MB
-
https://huggingface.co/cle-13/nllb-tooro-ttj-patched/resolve/719d624a95bb873bcd0085f3e280071e9e6f942e/sentencepiece.bpe.model
- Command line
-
hf download hf://cle-13/nllb-tooro-ttj-patched@719d624a95bb873bcd0085f3e280071e9e6f942e/sentencepiece.bpe.model
-
curl -L -o sentencepiece.bpe.model https://huggingface.co/cle-13/nllb-tooro-ttj-patched/resolve/719d624a95bb873bcd0085f3e280071e9e6f942e/sentencepiece.bpe.model
4.85 MB
- Xet hash:
- 5a49bb827da480c22c5bfab7f453b923b8e7f4624f3d1f1672e130e59f6016aa
- Size of remote file:
- 4.85 MB
- SHA256:
- 14bb8dfb35c0ffdea7bc01e56cea38b9e3d5efcdcb9c251d6b40538e1aab555a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.