Translation
Transformers
PyTorch
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use kazandaev/m2m100_1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kazandaev/m2m100_1.2B 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_1.2B")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kazandaev/m2m100_1.2B") model = AutoModelForSeq2SeqLM.from_pretrained("kazandaev/m2m100_1.2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97497ce0df12e741fc78cee780ec64a99a8a82eb9bb9cb6cf8b08a437edfe7a0
- Size of remote file:
- 4.96 GB
- SHA256:
- 8e5813e631f9e5a56a7cb527086a5e95cf506b310195a311faa302b42dc29d77
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