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
Commit History
-
Update README.md
Verified signature7781d25 -
Add NedoTranslator production v1 weights
Verified signature569a113 -
Add target.spm
Verified signature05ccfe8 -
Add source.spm
Verified signatureee7a849 -
Add vocab.json
Verified signature3a181dd -
Add special_tokens_map.json
Verified signature85bfe7d -
Add tokenizer_config.json
Verified signature5272408 -
Add generation_config.json
Verified signature5396554 -
Add config.json
Verified signature7d2e2d4 -
Add README.md
Verified signaturec765906 -
initial commit
Verified signaturec4d7f4a