Token Classification
Transformers
Safetensors
Galician
bert
named-entity-recognition
ner
galician
Generated from Trainer
Eval Results (legacy)
Instructions to use asarymsakova/bert-base-gl-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asarymsakova/bert-base-gl-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="asarymsakova/bert-base-gl-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("asarymsakova/bert-base-gl-ner") model = AutoModelForTokenClassification.from_pretrained("asarymsakova/bert-base-gl-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from asarymsakova/bert-base-gl-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.91 MB
-
https://huggingface.co/asarymsakova/bert-base-gl-ner/resolve/main/tokenizer.json
- Command line
-
hf download hf://asarymsakova/bert-base-gl-ner/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/asarymsakova/bert-base-gl-ner/resolve/main/tokenizer.json
2.91 MB
File too large to display, you can check the raw version instead.