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
File size: 129 Bytes
7435650 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0f75f569a9433205b4335db9ac58d944438e09f26ec74173821490477196f1d8
size 5112
|