Instructions to use ydshieh/tiny-random-DebertaForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ydshieh/tiny-random-DebertaForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("ydshieh/tiny-random-DebertaForTokenClassification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
Update tiny models for DebertaForTokenClassification
#5 opened over 3 years ago
by
ydshieh
Update tiny models for DebertaForTokenClassification
#4 opened over 3 years ago
by
ydshieh
Update tiny models for DebertaForTokenClassification
#3 opened over 3 years ago
by
ydshieh
Update tiny models for DebertaForTokenClassification
#2 opened over 3 years ago
by
ydshieh
Update tiny models for DebertaForTokenClassification
#1 opened over 3 years ago
by
ydshieh