Instructions to use nagupv/deberta-v3-large-hf-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagupv/deberta-v3-large-hf-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nagupv/deberta-v3-large-hf-weights")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nagupv/deberta-v3-large-hf-weights") model = AutoModelForMaskedLM.from_pretrained("nagupv/deberta-v3-large-hf-weights") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
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Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot