Text Classification
Transformers
Safetensors
xlm-roberta
reranker
cross-encoder
bengali
banglish
maternal-health
text-embeddings-inference
Instructions to use asim-alam/maasathi-bge-reranker-v2-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asim-alam/maasathi-bge-reranker-v2-m3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asim-alam/maasathi-bge-reranker-v2-m3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asim-alam/maasathi-bge-reranker-v2-m3") model = AutoModelForSequenceClassification.from_pretrained("asim-alam/maasathi-bge-reranker-v2-m3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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