Instructions to use Monsia/autonlp-tweets-classification-23044997 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monsia/autonlp-tweets-classification-23044997 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monsia/autonlp-tweets-classification-23044997")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monsia/autonlp-tweets-classification-23044997") model = AutoModelForSequenceClassification.from_pretrained("Monsia/autonlp-tweets-classification-23044997") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4e3789551ec93e20213e53bfd71f05c4fd54ace4b355745d2735bc4471e8d7d
- Size of remote file:
- 2.55 kB
- SHA256:
- bba8aef1ba1d862a8cce09a2da522ac5a49078d83ab91ce30be673141264fbcc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.