Instructions to use kmok1/cs_m2m_0.001_50_v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmok1/cs_m2m_0.001_50_v0.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kmok1/cs_m2m_0.001_50_v0.2") model = AutoModelForSeq2SeqLM.from_pretrained("kmok1/cs_m2m_0.001_50_v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 418393f5f6f340706abfff4ce4aa145499b896daabdc05752230ae18d0c64663
- Size of remote file:
- 4.96 GB
- SHA256:
- 95175931f58ae8e7b689488db4c84e846237188918b3b7d963ab2e94a51bc9ba
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