Instructions to use SkyR/hing-mbert-ours-run-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/hing-mbert-ours-run-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/hing-mbert-ours-run-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/hing-mbert-ours-run-3") model = AutoModelForSequenceClassification.from_pretrained("SkyR/hing-mbert-ours-run-3") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- precision
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- recall
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- f1
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model-index:
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- name: hing-mbert-ours-run-3
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results: []
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- precision
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- recall
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- f1
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base_model: l3cube-pune/hing-mbert
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model-index:
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- name: hing-mbert-ours-run-3
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results: []
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