Instructions to use thrunlab/t5-large_cola_dense_epochs-7_decoder_all_sparsity10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/t5-large_cola_dense_epochs-7_decoder_all_sparsity10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thrunlab/t5-large_cola_dense_epochs-7_decoder_all_sparsity10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-large_cola_dense_epochs-7_decoder_all_sparsity10") model = AutoModelForSequenceClassification.from_pretrained("thrunlab/t5-large_cola_dense_epochs-7_decoder_all_sparsity10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:03f5d42f3fa268a719cb1bf72ea225b78fc6c95a77569c54796e9c26db6bb989
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size 1609117136
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