Instructions to use IITBHUNLPLab/TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IITBHUNLPLab/TEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IITBHUNLPLab/TEST")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IITBHUNLPLab/TEST") model = AutoModelForSequenceClassification.from_pretrained("IITBHUNLPLab/TEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0717d4742b537134c3af481bedb40759b23c535633b0552db10818f68c187f09
- Size of remote file:
- 17.1 MB
- SHA256:
- 1edb0658cb47689db5cf78194ebe041bba3b6b775d1f1069fc9501b372d4acb0
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