Instructions to use AnonymousCS/BERT_hateval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/BERT_hateval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/BERT_hateval")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/BERT_hateval") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/BERT_hateval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from AnonymousCS/BERT_hateval: direct link, hf CLI and curl.
- Browser
- Download file 43 Bytes
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https://huggingface.co/AnonymousCS/BERT_hateval/resolve/main/README.md
- Command line
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hf download hf://AnonymousCS/BERT_hateval/README.md
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curl -L -o README.md https://huggingface.co/AnonymousCS/BERT_hateval/resolve/main/README.md
43 Bytes
metadata
library_name: transformers
tags: []