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