Instructions to use UBC-NLP/turjuman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/turjuman with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("UBC-NLP/turjuman") model = AutoModelForSeq2SeqLM.from_pretrained("UBC-NLP/turjuman") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 507356aac74dc7419da5f119037e861cefc89f63c78a4de4e99e164737718320
- Size of remote file:
- 1.13 GB
- SHA256:
- 15aa8bcc2c1513f70c47bd4ef4d7555a28df0a19183c3dfdeec372d8a68bd0dd
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