Instructions to use lilferrit/ft-wmt14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilferrit/ft-wmt14 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lilferrit/ft-wmt14") model = AutoModelForSeq2SeqLM.from_pretrained("lilferrit/ft-wmt14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a595b1842ee957d2e648b723d9fe28c2c3df3423856b63cd5d150190de022b
- Size of remote file:
- 5.18 kB
- SHA256:
- 4878c1f89162c049dcdd1efad08bce320df3a4d863ef4ea6ae4f1214fb0254ea
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