Instructions to use FiveC/BartTayFinal-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/BartTayFinal-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/BartTayFinal-test") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/BartTayFinal-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bf955f3702afecb4c05d53c31a1312c18ced759e07de38d23f3234d21be457d
- Size of remote file:
- 1.58 GB
- SHA256:
- 92a382666d6c50c43433c88cf577f537ffed0dc8110b5f382ad7d7d7d775f752
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