Translation
Transformers
Safetensors
English
Telugu
m2m_100
text2text-generation
text-generation
fine-tuned-model
colloquial-language
telugu
machine-translation
Instructions to use anithasoma/nllb-finetuned-telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anithasoma/nllb-finetuned-telugu 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="anithasoma/nllb-finetuned-telugu")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anithasoma/nllb-finetuned-telugu") model = AutoModelForSeq2SeqLM.from_pretrained("anithasoma/nllb-finetuned-telugu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08eea930a55d6fd252a56c572b9a20026973af96fb04a567830af45762eadeaa
- Size of remote file:
- 2.46 GB
- SHA256:
- f204edbc8645d9de41293950a49819a1cfee6fcd70d655fcacd41c6c3fd28bed
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