Instructions to use masakhane/m2m100_418M_zul_en_rel_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_zul_en_rel_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_zul_en_rel_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/m2m100_418M_zul_en_rel_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a9c9ab37959a2a4376d29d5bdb62053663a0c465a9a576da012ff956fed237
- Size of remote file:
- 2.93 kB
- SHA256:
- b4dae0b13b665fc51f3ffc88c0955c2607bf8fecc39da56712653f8cda9702ee
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