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")# pip install -U transformers accelerate # 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
Download flax_model.msgpack from andrek/LAT2NOB: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/andrek/LAT2NOB/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://andrek/LAT2NOB/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/andrek/LAT2NOB/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- fa70c051b6a8b5ac887b703e529b5b1aac3e9e2b3657373b60477c29494d6cce
- Size of remote file:
- 2.33 GB
- SHA256:
- 8122738454f0d75c4d2148d863b80c3dc4509825e36cc0458aff93143d905f9e
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