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:
- de9715f70dad564c8ed62ce878362851f42c23ea122f8568d635436f47244ab3
- Size of remote file:
- 3.44 kB
- SHA256:
- 6daeabe16da53fa10ccef636c32057271c6a9f9b2c2065f283c023fc602840ab
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