Instructions to use Davlan/m2m100_418M-yor-eng-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/m2m100_418M-yor-eng-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/m2m100_418M-yor-eng-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/m2m100_418M-yor-eng-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c781ded260b178d57bb2e3ecc52d8032f78a128e90f00e9f7df033cee3091576
- Size of remote file:
- 1.94 GB
- SHA256:
- 03c62d89e1e66c354a25961ec4b2adfa0ba38b4d037aee1c022fdb3f9d27eb8b
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