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
Download model.safetensors from benjamin/wtp-bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/benjamin/wtp-bert-tiny/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://benjamin/wtp-bert-tiny@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/benjamin/wtp-bert-tiny/resolve/refs%2Fpr%2F1/model.safetensors
10.1 MB
- Xet hash:
- 631d841c00d6f56999c4b6ec48bdfa608970cb3e4565b5ba0b74fb3f427f90ac
- Size of remote file:
- 10.1 MB
- SHA256:
- ef8bcea523a62f59aebae72a8a1ba7fbf8361c7747048d97077dc1f61d54b59b
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