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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7488f59c8eb74e240bd363bf7d44c266ae473047c392a529c390b5228f4e9af5
- Size of remote file:
- 2.33 GB
- SHA256:
- ae8ec0e50666c76c581b7bb387653de7a9f264441a3f1800c69052b783d76d55
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