Instructions to use thrunlab/t5-large_cola_sp0_ar0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/t5-large_cola_sp0_ar0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thrunlab/t5-large_cola_sp0_ar0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-large_cola_sp0_ar0") model = AutoModelForSequenceClassification.from_pretrained("thrunlab/t5-large_cola_sp0_ar0", 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 sha256:00721c171871925c68dc2bc2b7ed9687a55846c0728c4c91c2d1b0da615f3570
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size 2954972424
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