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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a3c74a73f0d01b639a7809f0df94f5e7f037b663df04ad9c8c5156ad03ec21
- Size of remote file:
- 4.73 kB
- SHA256:
- 64334931c18287f7f129c20dd441c7475b0fa7fbf15ee769670fd9daed235c71
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