Instructions to use NIRVLab/morphbpe-tr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NIRVLab/morphbpe-tr-en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NIRVLab/morphbpe-tr-en") model = AutoModelForSeq2SeqLM.from_pretrained("NIRVLab/morphbpe-tr-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NIRVLab/morphbpe-tr-en: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/NIRVLab/morphbpe-tr-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://NIRVLab/morphbpe-tr-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/NIRVLab/morphbpe-tr-en/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 6c036d95c476ac72af8a1caa77d7ada40ad597b272eabf5cc634353194517c5b
- Size of remote file:
- 17.1 MB
- SHA256:
- 6f2f0451d4ed4e9332def6619b7ab19b3e691559678f9f81fe56015d0946a1a4
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