Instructions to use paulh27/xsum_aligned_smallT5_cont2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5_cont2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5_cont2") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5_cont2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5935bf0d2480fe30608084b7e3802819c8d5195c6bb32f6f0c0ca2b29b282e19
- Size of remote file:
- 5.11 kB
- SHA256:
- 0f75f569a9433205b4335db9ac58d944438e09f26ec74173821490477196f1d8
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