Instructions to use Neuralearn/autonlp-Summarization-AutoNLP-24135330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neuralearn/autonlp-Summarization-AutoNLP-24135330 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neuralearn/autonlp-Summarization-AutoNLP-24135330") model = AutoModelForSeq2SeqLM.from_pretrained("Neuralearn/autonlp-Summarization-AutoNLP-24135330", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3da204fe01b67952281d10b2156b32baee2a151207f78cbcb3dc6cbf9d0fcdff
- Size of remote file:
- 2.28 GB
- SHA256:
- fd9bac1fac92655028891c63a3a87243cf5f60c80931190e6253161a96839c5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.