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:
- e87623355425c424f3bf4baaf808f8b1b43fc6f8e8243daa83f5ac36be62eb3f
- Size of remote file:
- 4.96 GB
- SHA256:
- 800da7c5191855de52675fb2305ad9b787e7307fa53c4721afe46ff9b930c950
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