Instructions to use vvn/test-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vvn/test-summary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vvn/test-summary") model = AutoModelForSeq2SeqLM.from_pretrained("vvn/test-summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbf902aef2abea0622ae515319c8e44c75def018fa1179496d3e628884b6c018
- Size of remote file:
- 1.63 GB
- SHA256:
- 64bb61ab43c51a37c17f26ccb333f954f3e15527f62d9000d79a0d49effc7f3d
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