Instructions to use benjamin/wtp-bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/wtp-bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="benjamin/wtp-bert-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("benjamin/wtp-bert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from benjamin/wtp-bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
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https://huggingface.co/benjamin/wtp-bert-tiny/resolve/4f4cdb5ddba3fb3f87cc3f1fe36e36a683afe545/README.md
- Command line
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hf download hf://benjamin/wtp-bert-tiny@4f4cdb5ddba3fb3f87cc3f1fe36e36a683afe545/README.md
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curl -L -o README.md https://huggingface.co/benjamin/wtp-bert-tiny/resolve/4f4cdb5ddba3fb3f87cc3f1fe36e36a683afe545/README.md
21 Bytes
metadata
license: mit