Instructions to use Adrien35/twitter_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adrien35/twitter_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Adrien35/twitter_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Adrien35/twitter_classification_model") model = AutoModelForSequenceClassification.from_pretrained("Adrien35/twitter_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62f015313c2d7a518b4e9393c126a9f5e254ac622fdbb677240c50c1094258a5
- Size of remote file:
- 5.18 kB
- SHA256:
- d98276ec9887298e5c0981ca365ffb0012868b6fe3f20adef2139dad6b223be6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.