Instructions to use redadmiral/headlines_test_small_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redadmiral/headlines_test_small_example with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("redadmiral/headlines_test_small_example") model = AutoModelForSeq2SeqLM.from_pretrained("redadmiral/headlines_test_small_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d38682d95bcc6b09487c0387694f481e972a32840c67e79ea50fe7e3b91bd48
- Size of remote file:
- 1.2 GB
- SHA256:
- d0490ba1b0a3c420cba6c4b4c9b9ff9820e5e9bfc64d7a72ec7d4481eebbe95a
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