Instructions to use verloop/Hinglish-Bert-Class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use verloop/Hinglish-Bert-Class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="verloop/Hinglish-Bert-Class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("verloop/Hinglish-Bert-Class") model = AutoModelForSequenceClassification.from_pretrained("verloop/Hinglish-Bert-Class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 414bcd022f72d2870593795efed962b05269adcf22a9b6a4b1a60db9d9768c91
- Size of remote file:
- 712 MB
- SHA256:
- ed206c0650927921cacad135ff3f29760717913c7a1d3a373a984d8268ad61f1
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