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
Upload 12 files
Browse files- config.json +1 -1
- model.safetensors +1 -1
- tokenizer.json +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +2 -2
config.json
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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{
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"_name_or_path": "facebook/nllb-200-distilled-600M",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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model.safetensors
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tokenizer.json
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tokenizer_config.json
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"src_lang": "eng_Latn",
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"tgt_lang":
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"tokenizer_class": "NllbTokenizer",
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"unk_token": "<unk>"
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"src_lang": "eng_Latn",
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"tgt_lang": null,
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"tokenizer_class": "NllbTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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