Instructions to use dtorber/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dtorber/bertweet-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dtorber/bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("dtorber/bertweet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bpe.codes from dtorber/bertweet-base: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
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https://huggingface.co/dtorber/bertweet-base/resolve/main/bpe.codes
- Command line
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hf download hf://dtorber/bertweet-base/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/dtorber/bertweet-base/resolve/main/bpe.codes
1.08 MB
File too large to display, you can check the raw version instead.