Instructions to use Jehadoumer/2a_twitter_preprocessed-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/2a_twitter_preprocessed-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/2a_twitter_preprocessed-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/2a_twitter_preprocessed-final") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/2a_twitter_preprocessed-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jehadoumer/2a_twitter_preprocessed-final: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/Jehadoumer/2a_twitter_preprocessed-final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jehadoumer/2a_twitter_preprocessed-final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jehadoumer/2a_twitter_preprocessed-final/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 01b247342c072060257c1c777a6fb009033a28e6fb3b9e1666a90746c302ebc2
- Size of remote file:
- 541 MB
- SHA256:
- 7b1396aa47a43bd0b7a8dcdef968e0294c96d7ffff12ef4ca1ca4dcc9a05045a
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