Instructions to use anonymous813ker/summary-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/summary-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/summary-generator") model = AutoModelForSeq2SeqLM.from_pretrained("anonymous813ker/summary-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab6a84b8469988edcffdd582d4c673bec9f4dc7049910451d1e450309413bda5
- Size of remote file:
- 4.98 kB
- SHA256:
- e7b04a944c76e27bc09708a123bbfb9187ba559184fbe8d7a2a48db0eae3471f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.