Instructions to use kmok1/cs_m2m_0.0001_100_v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmok1/cs_m2m_0.0001_100_v0.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kmok1/cs_m2m_0.0001_100_v0.2") model = AutoModelForSeq2SeqLM.from_pretrained("kmok1/cs_m2m_0.0001_100_v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7812beef839e234be99033655b7d56ef6596710449419bd322d1c3179dbcfc0f
- Size of remote file:
- 4.96 GB
- SHA256:
- a4d285037be39468357542f751b8e003950a8755d8ee77963415de1d0c8ef62d
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