Instructions to use IIIT-L/indic-bert-finetuned-non-code-mixed-DS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIIT-L/indic-bert-finetuned-non-code-mixed-DS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IIIT-L/indic-bert-finetuned-non-code-mixed-DS", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIIT-L/indic-bert-finetuned-non-code-mixed-DS") model = AutoModelForSequenceClassification.from_pretrained("IIIT-L/indic-bert-finetuned-non-code-mixed-DS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c2e166e
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (470a2f31af9c04ee27c358b03abef8ddf2429f2c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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