Instructions to use nmsofficial/NedoTranslator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmsofficial/NedoTranslator 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="nmsofficial/NedoTranslator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nmsofficial/NedoTranslator") model = AutoModelForSeq2SeqLM.from_pretrained("nmsofficial/NedoTranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from nmsofficial/NedoTranslator: direct link, hf CLI and curl.
- Browser
- Download file 797 kB
-
https://huggingface.co/nmsofficial/NedoTranslator/resolve/main/source.spm
- Command line
-
hf download hf://nmsofficial/NedoTranslator/source.spm
-
curl -L -o source.spm https://huggingface.co/nmsofficial/NedoTranslator/resolve/main/source.spm
797 kB
- Xet hash:
- 5a61e089ef8131d35214790e3f520cf990b43cb29c4da6f9efb3418e72b71d27
- Size of remote file:
- 797 kB
- SHA256:
- 180d3f94ddfee5585d78b702290ded0f4f9bd40f299349c8383b32a579fefad4
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