Instructions to use rwillh11/base-mdbertav3-token-classification-groups-bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rwillh11/base-mdbertav3-token-classification-groups-bilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rwillh11/base-mdbertav3-token-classification-groups-bilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rwillh11/base-mdbertav3-token-classification-groups-bilingual") model = AutoModelForTokenClassification.from_pretrained("rwillh11/base-mdbertav3-token-classification-groups-bilingual") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot