Instructions to use Shruthikaa/muril_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shruthikaa/muril_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shruthikaa/muril_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shruthikaa/muril_classification") model = AutoModelForSequenceClassification.from_pretrained("Shruthikaa/muril_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec52e1606bfa23fa21f34fe87422b8a1b818c86259fd33671de9f49db23e760d
- Size of remote file:
- 4.54 kB
- SHA256:
- 0e9a7f238d1af938890eee0ca55d51b720b49f7724feddf84d68c73c4863064a
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