Instructions to use FiveC/Combine_Bahnaric_viet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/Combine_Bahnaric_viet with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/Combine_Bahnaric_viet") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/Combine_Bahnaric_viet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d41c1483b11ec20a99f455ab64ccf25888f01ad7b11dde1dfb8ee617307c4d42
- Size of remote file:
- 5.97 kB
- SHA256:
- 46c8a680684cb929a195ae2156e685343a4e9c47f4e6ecc9fc246f53faf6054c
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