Instructions to use FiveC/BartTayFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/BartTayFinal with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/BartTayFinal") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/BartTayFinal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d27ac793e1ce6469c114a475c41248056f542c88abb6f9f27071650b4c25da77
- Size of remote file:
- 1.58 GB
- SHA256:
- 8b0fe15462287b03ae86f81cbd4716f3364b0f77656c45f40c89e6a81737b297
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