Token Classification
Transformers
Safetensors
Estonian
camembert
estonian
quantifier-extraction
roberta
Instructions to use ahtokiil/est-roberta-quant-extraction_EKI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahtokiil/est-roberta-quant-extraction_EKI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ahtokiil/est-roberta-quant-extraction_EKI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ahtokiil/est-roberta-quant-extraction_EKI") model = AutoModelForTokenClassification.from_pretrained("ahtokiil/est-roberta-quant-extraction_EKI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ahtokiil/est-roberta-quant-extraction_EKI: direct link, hf CLI and curl.
- Browser
- Download file 6.15 MB
-
https://huggingface.co/ahtokiil/est-roberta-quant-extraction_EKI/resolve/main/tokenizer.json
- Command line
-
hf download hf://ahtokiil/est-roberta-quant-extraction_EKI/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ahtokiil/est-roberta-quant-extraction_EKI/resolve/main/tokenizer.json
6.15 MB
File too large to display, you can check the raw version instead.