Fill-Mask
Transformers
PyTorch
Safetensors
English
modernbert
ecommerce
e-commerce
retail
marketplace
shopping
amazon
ebay
alibaba
google
rakuten
bestbuy
walmart
flipkart
wayfair
shein
target
etsy
shopify
taobao
asos
carrefour
costco
overstock
pretraining
encoder
language-modeling
foundation-model
Instructions to use thebajajra/RexBERT-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thebajajra/RexBERT-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thebajajra/RexBERT-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thebajajra/RexBERT-mini") model = AutoModelForMaskedLM.from_pretrained("thebajajra/RexBERT-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- foundation-model
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pipeline_tag: fill-mask
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---
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# RexBERT-mini
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- foundation-model
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pipeline_tag: fill-mask
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library_name: transformers
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datasets:
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- thebajajra/Ecom-niverse
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# RexBERT-mini
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