Instructions to use BME-TMIT/foszt2oszt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BME-TMIT/foszt2oszt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BME-TMIT/foszt2oszt") model = AutoModelForSeq2SeqLM.from_pretrained("BME-TMIT/foszt2oszt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 077775a772b71e17c6571537cf66d3a4e31ddb84fb88494c8064587fe773da24
- Size of remote file:
- 999 MB
- SHA256:
- 7a983d27fe501e0effe7f060c362ed1a4fb2cafb67dca492c2cd8a294037369a
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