Instructions to use seduerr/splitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/splitter with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/splitter") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/splitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf76e75b73fbf1b427f5438c3e9c878ce195c8d122d0e9e863c6e0c7db7945a9
- Size of remote file:
- 892 MB
- SHA256:
- be4b96f4bb56f764b7503c4b5cb44317d9cbf0ab3700018ea735d8840c2a53a4
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