Instructions to use mrapacz/interlinear-pl-philta-baseline-normalized-unused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-philta-baseline-normalized-unused with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-philta-baseline-normalized-unused") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-pl-philta-baseline-normalized-unused", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8501e2f9184a51cdc3b76448c52a18f370f3caeca30f7ab4de9f88ebb435484
- Size of remote file:
- 1.19 GB
- SHA256:
- bd67be07ed8200fe2cb84947dbc75233f5ee0de599da2352ffbcbdba4462e317
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.