Instructions to use datasetsANDmodels/purpose-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/purpose-extraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/purpose-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/purpose-extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8c5f0fbf36789421fa2c07260702a7e229358160af9f29839223818fdc4add4
- Size of remote file:
- 4.79 kB
- SHA256:
- b18f399c5074d52fb1d1ed088bd6cb6707284192259a03502e115b045bad7e85
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.