Instructions to use Jehadoumer/task2B-twitter-preprocessed-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2B-twitter-preprocessed-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2B-twitter-preprocessed-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2B-twitter-preprocessed-final") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2B-twitter-preprocessed-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jehadoumer/task2B-twitter-preprocessed-final: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/Jehadoumer/task2B-twitter-preprocessed-final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jehadoumer/task2B-twitter-preprocessed-final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jehadoumer/task2B-twitter-preprocessed-final/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 6e6dbfe3a8b9d2a30aeb6a8e5ed47e5278bb5604c9008bb874bbba865732c3bf
- Size of remote file:
- 541 MB
- SHA256:
- 38219bf80457e4c4f179bb74257d39d9467365dd0805ba10fa0973c0dfe3deb7
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