Translation
Transformers
PyTorch
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use kazandaev/m2m100_418M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kazandaev/m2m100_418M 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="kazandaev/m2m100_418M")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kazandaev/m2m100_418M") model = AutoModelForSeq2SeqLM.from_pretrained("kazandaev/m2m100_418M") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
config.json
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"activation_function": "relu",
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"architectures": [
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"_name_or_path": "kazandaev/m2m100_418M",
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"activation_dropout": 0.0,
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"architectures": [
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pytorch_model.bin
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training_args.bin
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