Instructions to use mrapacz/interlinear-pl-philta-t-w-t-normalized-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-philta-t-w-t-normalized-ob with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-philta-t-w-t-normalized-ob") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-pl-philta-t-w-t-normalized-ob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mrapacz/interlinear-pl-philta-t-w-t-normalized-ob: direct link, hf CLI and curl.
- Browser
- Download file 4.35 MB
-
https://huggingface.co/mrapacz/interlinear-pl-philta-t-w-t-normalized-ob/resolve/main/tokenizer.json
- Command line
-
hf download hf://mrapacz/interlinear-pl-philta-t-w-t-normalized-ob/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mrapacz/interlinear-pl-philta-t-w-t-normalized-ob/resolve/main/tokenizer.json
4.35 MB
File too large to display, you can check the raw version instead.