Instructions to use motmono/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use motmono/output with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("motmono/output") model = TrainableDT.from_pretrained("motmono/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7830fe7d39e87c966470e1ff85ee0c5779168246239e16abf69c7dca285d3a1
- Size of remote file:
- 8.19 MB
- SHA256:
- 98d790cef53c6d7658699065667645ec7760d7c9dcdce20553fd6718ed730897
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