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:
- b560013016a1eb98677e5a60e1f157d6f40cc5da71a25ab7e233458540b4b72e
- Size of remote file:
- 1.94 GB
- SHA256:
- e0e46101e68ab71038d9160a1a4ae12dad766f79b8695b0ac770f01c2fb8d38b
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