Token Classification
Transformers
ONNX
Safetensors
English
ultrabert
information-extraction
extractive-qa
ner
span-extraction
tasksource
custom_code
Instructions to use tasksource/UltraBERT-150M-clairic-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/UltraBERT-150M-clairic-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tasksource/UltraBERT-150M-clairic-extraction", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tasksource/UltraBERT-150M-clairic-extraction", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("tasksource/UltraBERT-150M-clairic-extraction", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model_quantized.onnx from tasksource/UltraBERT-150M-clairic-extraction: direct link, hf CLI and curl.
- Browser
- Download file 204 MB
-
https://huggingface.co/tasksource/UltraBERT-150M-clairic-extraction/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://tasksource/UltraBERT-150M-clairic-extraction/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/tasksource/UltraBERT-150M-clairic-extraction/resolve/main/onnx/model_quantized.onnx
204 MB
- Xet hash:
- 02a96b489b5d3a44b9536cba2c0efb778cd0e7756d28786467198173f0ffd891
- Size of remote file:
- 204 MB
- SHA256:
- 45c82a640323d496a5906466a0608145967a0b63d12978b5ed3c8550ef66c724
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.