Instructions to use kmok1/cs_m2m_0.0001_1000_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_1000_v0.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kmok1/cs_m2m_0.0001_1000_v0.2") model = AutoModelForSeq2SeqLM.from_pretrained("kmok1/cs_m2m_0.0001_1000_v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc26b7ffa83b6a7493d9cbd0e57dd8453bb5b1b4f7c5161dd0738a55a16c3099
- Size of remote file:
- 4.96 GB
- SHA256:
- b0010a906fb71d1119cb7d57069484c0afe216aeadceb9a2b57cdd4082fa9d97
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