Table Question Answering
Transformers
ONNX
Safetensors
English
modernbert
fill-mask
table-grounding
number-verification
clinical-study-report
Instructions to use decosaai/decosa-cell-pointer-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use decosaai/decosa-cell-pointer-modernbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="decosaai/decosa-cell-pointer-modernbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("decosaai/decosa-cell-pointer-modernbert-base") model = AutoModelForMaskedLM.from_pretrained("decosaai/decosa-cell-pointer-modernbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from decosaai/decosa-cell-pointer-modernbert-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/decosaai/decosa-cell-pointer-modernbert-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://decosaai/decosa-cell-pointer-modernbert-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/decosaai/decosa-cell-pointer-modernbert-base/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.