Instructions to use andrek/LAT2NOB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrek/LAT2NOB with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="andrek/LAT2NOB")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("andrek/LAT2NOB") model = AutoModelForSeq2SeqLM.from_pretrained("andrek/LAT2NOB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa70c051b6a8b5ac887b703e529b5b1aac3e9e2b3657373b60477c29494d6cce
- Size of remote file:
- 2.33 GB
- SHA256:
- 8122738454f0d75c4d2148d863b80c3dc4509825e36cc0458aff93143d905f9e
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