Instructions to use masakhane/m2m100_418M_ewe_fr_rel_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_ewe_fr_rel_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_ewe_fr_rel_ft") model = AutoModelForMultimodalLM.from_pretrained("masakhane/m2m100_418M_ewe_fr_rel_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45377e50f0fcb7baec8ea8c1a167d70db667b10eb7ea0302837a5afce6fadd24
- Size of remote file:
- 2.74 kB
- SHA256:
- a96cef9c447a258167f79de20e452d63046cada52971c400e407fdcc2c2bf3fb
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