Instructions to use Davlan/bert-base-multilingual-cased-ner-hrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/bert-base-multilingual-cased-ner-hrl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Davlan/bert-base-multilingual-cased-ner-hrl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl") model = AutoModelForTokenClassification.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl") - Inference
- Notebooks
- Google Colab
- Kaggle
Add tokenizer.json
#9 opened 10 months ago
by
bu6n
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
SFconvertbot
Using with Transformers vs in website
#2 opened over 3 years ago
by
Ahmed87