Instructions to use nouman-10/task2B-preprocessed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/task2B-preprocessed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nouman-10/task2B-preprocessed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nouman-10/task2B-preprocessed") model = AutoModelForSequenceClassification.from_pretrained("nouman-10/task2B-preprocessed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5367ec87ce1814113855d637e8dba6d45bfc7e3287fdf18d24bebe432670857
- Size of remote file:
- 541 MB
- SHA256:
- 4a513286b3c882cb98b84fe429311cf31d01c5864b811a797c9f03d65aada726
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