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