Instructions to use xmeowrr/RiskScoreModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xmeowrr/RiskScoreModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("xmeowrr/RiskScoreModel") model = AutoModelForMaskedLM.from_pretrained("xmeowrr/RiskScoreModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from xmeowrr/RiskScoreModel: direct link, hf CLI and curl.
- Browser
- Download file 155 Bytes
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https://huggingface.co/xmeowrr/RiskScoreModel/resolve/main/README.md
- Command line
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hf download hf://xmeowrr/RiskScoreModel/README.md
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curl -L -o README.md https://huggingface.co/xmeowrr/RiskScoreModel/resolve/main/README.md
155 Bytes
metadata
datasets:
- alzoubi36/opp_115
base_model:
- google-bert/bert-base-uncased
tags:
- code
library_name: transformers
pipeline_tag: sentence-similarity