Instructions to use Emanuel/mdeberta-v3-base-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emanuel/mdeberta-v3-base-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Emanuel/mdeberta-v3-base-finetuned-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Emanuel/mdeberta-v3-base-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("Emanuel/mdeberta-v3-base-finetuned-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened almost 3 years ago
by
librarian-bot