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:
- 9509e1f4a488ac0e801714fc253cd3ee9633af31c19e02bf87d22cb31103385b
- Size of remote file:
- 1.25 GB
- SHA256:
- 6916d7ff3362ce49742a20cb5460c33aaa35a9d21df67e3d689c8df1e7aa79f3
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