Instructions to use FiveC/BartTayFinal-SwitchOut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/BartTayFinal-SwitchOut with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/BartTayFinal-SwitchOut") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/BartTayFinal-SwitchOut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a87ec7804c49859963205122334e31747c62d74b8fe8aac26bf250a418f740e4
- Size of remote file:
- 5.97 kB
- SHA256:
- 4beff2251f6b0b247a817baef9e5c064bf51d0d0027483bfe750f0446ce5f396
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