Instructions to use kmok1/cs_m2m_0.00001_200_v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmok1/cs_m2m_0.00001_200_v0.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kmok1/cs_m2m_0.00001_200_v0.2") model = AutoModelForSeq2SeqLM.from_pretrained("kmok1/cs_m2m_0.00001_200_v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21ae5641637f51cd737ee41d009baa39c16bbce40806c02665434ff0df174c6d
- Size of remote file:
- 4.96 GB
- SHA256:
- 96f10ca74001b4ac7579b0ed7505d8a7c0fc50c9c8e67dab005a742715cec28b
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