Instructions to use chaeyeonl33/NLLB_finetuned_KOENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaeyeonl33/NLLB_finetuned_KOENG with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chaeyeonl33/NLLB_finetuned_KOENG") model = AutoModelForSeq2SeqLM.from_pretrained("chaeyeonl33/NLLB_finetuned_KOENG") - Notebooks
- Google Colab
- Kaggle
Upload M2M100ForConditionalGeneration
Browse files- config.json +1 -1
- generation_config.json +1 -2
- model.safetensors +1 -1
config.json
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"_name_or_path": "/home/capstone_001_04/results/checkpoint-
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"_name_or_path": "/home/capstone_001_04/results/checkpoint-40000",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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generation_config.json
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"_from_model_config": true,
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"decoder_start_token_id":
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"bos_token_id": 0,
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"decoder_start_token_id": 256047,
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 2460354912
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