Instructions to use thrunlab/t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thrunlab/t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp") model = AutoModelForSequenceClassification.from_pretrained("thrunlab/t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot