Instructions to use mjpsm/checkin-summarizer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjpsm/checkin-summarizer-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mjpsm/checkin-summarizer-v2") model = AutoModelForSeq2SeqLM.from_pretrained("mjpsm/checkin-summarizer-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f554b12b4d79cd7353daedba9cf44cf91c432a1095c95e119e93e3960c564c78
- Size of remote file:
- 5.14 kB
- SHA256:
- bd806012fd60f647b98c185c78e77ac7da6a97dcfd9ac3f73ab414dc7bfafa14
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