Instructions to use paulh27/xsum_aligned_smallT5_cont3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5_cont3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5_cont3") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5_cont3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 052387f8aedf8d75a908e466c0f4a4fc0e7209cf0a8c2e2f4a164a5a3a0de5e8
- Size of remote file:
- 5.11 kB
- SHA256:
- 261390f23d7cd06eef83897b57a90c47983ad073029252832045f78003f5254f
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