Instructions to use rohitsroch/indic-mALBERT-static-INT8-squad-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohitsroch/indic-mALBERT-static-INT8-squad-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rohitsroch/indic-mALBERT-static-INT8-squad-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rohitsroch/indic-mALBERT-static-INT8-squad-v2") model = AutoModelForQuestionAnswering.from_pretrained("rohitsroch/indic-mALBERT-static-INT8-squad-v2") - Notebooks
- Google Colab
- Kaggle
indic-mALBERT-static-INT8-squad-v2
This model is a static-INT8 Quantized version of indic-mALBERT-squad-v2 on the squad_v2 dataset. Please Note that we use Intel庐 Neural Compressor for INT8 Quantization.
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