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")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("benjamin/wtp-bert-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Can this ting-bert model be finetuned for Japanese classification tasks other than split?
#2 opened about 2 years ago
by
Labmem009
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot