Instructions to use sreenathsree1578/intent-classifier-malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sreenathsree1578/intent-classifier-malayalam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sreenathsree1578/intent-classifier-malayalam")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sreenathsree1578/intent-classifier-malayalam") model = AutoModelForSequenceClassification.from_pretrained("sreenathsree1578/intent-classifier-malayalam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83b363acef76ca55446586be6f0d7aaa238c0afcbd3bac9db11bd2a958195714
- Size of remote file:
- 1.06 kB
- SHA256:
- 99323c2c2dafe6aea41cc17262c1b810948e7f2dc681c574eddfe8a498f38bd2
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