Instructions to use Davlan/m2m100_418M-eng-yor-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/m2m100_418M-eng-yor-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/m2m100_418M-eng-yor-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/m2m100_418M-eng-yor-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b5aa3ff5339b3b7ea5e3c10601478d4609265f8e630b6b1b62dcd35a1c50acf
- Size of remote file:
- 2.74 kB
- SHA256:
- b67cbd76fe37422f90770a373fd9927c9855fc729dfb901589ce059f7e2e165a
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