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:
- ba9ee40afd5b1bffa9fcefac02223c66b8f64a252f6c17a19ac8e5bbd40b1152
- Size of remote file:
- 738 MB
- SHA256:
- f16545e98108bbc6135aabf946a686dd79cd38c32b1fa9e077a4044a8d9eb671
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.