Token Classification
Transformers
Safetensors
multilingual
roberta
named-entity-recognition
NER
small-model
synthetic-data
tanaos
artifex
Instructions to use tanaos/tanaos-NER-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanaos/tanaos-NER-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tanaos/tanaos-NER-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tanaos/tanaos-NER-v1") model = AutoModelForTokenClassification.from_pretrained("tanaos/tanaos-NER-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce99e4eb8a0bbcffa3ffd844bd208cb391a4774cfd9328aeae00380d6efdf778
- Size of remote file:
- 496 MB
- SHA256:
- af651382428eb3ff739b7d8bbbd767f6dc6ebb9b87acf1af2ab1a25261bf73f7
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