Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
spam-detection
sms
text-embeddings-inference
Instructions to use nagaananth/MLOPS_group-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagaananth/MLOPS_group-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nagaananth/MLOPS_group-v4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nagaananth/MLOPS_group-v4") model = AutoModelForSequenceClassification.from_pretrained("nagaananth/MLOPS_group-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| Kaggle
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| W&B
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| HF Model — v1 | [nagaananth/MLOPS_group-v1](https://huggingface.co/nagaananth/MLOPS_group-v1) |
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| HF Model — v2 ★ Best | [nagaananth/MLOPS_group-v2](https://huggingface.co/nagaananth/MLOPS_group-v2) |
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| HF Model — v3 | [nagaananth/MLOPS_group-v3](https://huggingface.co/nagaananth/MLOPS_group-v3) |
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| GitHub Repository | [MLOps Group 36 Repository](https://github.com/g25ait2032-prog/mlops-group36-iitj) |
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| Kaggle Notebook (Final) | [mlops-group36-final-v3](https://www.kaggle.com/code/g25ait2032/mlops-group36-final-v3) |
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| W&B Dashboard | [MLOPS_Group](https://wandb.ai/g25ait2032-iit-jodhpur/MLOPS_Group) |
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| HF Model — v1 | [nagaananth/MLOPS_group-v1](https://huggingface.co/nagaananth/MLOPS_group-v1) |
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| HF Model — v2 ★ Best | [nagaananth/MLOPS_group-v2](https://huggingface.co/nagaananth/MLOPS_group-v2) |
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| HF Model — v3 | [nagaananth/MLOPS_group-v3](https://huggingface.co/nagaananth/MLOPS_group-v3) |
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