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 training_args.bin from Jehadoumer/task2B-twitter-preprocessed-final: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Jehadoumer/task2B-twitter-preprocessed-final/resolve/main/training_args.bin
- Command line
-
hf download hf://Jehadoumer/task2B-twitter-preprocessed-final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jehadoumer/task2B-twitter-preprocessed-final/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 98eedbe9396d6151d241dc268a961ee9f18c47e4a58dbc7bd53c40f090ce49dd
- Size of remote file:
- 4.09 kB
- SHA256:
- cf283226c00ce5e832ee609b4f26a0f8ab8886830af3b25f1adef254250657c5
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