Instructions to use thrunlab/t5-large_cola_sp0_ar0_test 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_test 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_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-large_cola_sp0_ar0_test") model = AutoModelForSequenceClassification.from_pretrained("thrunlab/t5-large_cola_sp0_ar0_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thrunlab/t5-large_cola_sp0_ar0_test: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
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https://huggingface.co/thrunlab/t5-large_cola_sp0_ar0_test/resolve/main/tokenizer.json
- Command line
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hf download hf://thrunlab/t5-large_cola_sp0_ar0_test/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/thrunlab/t5-large_cola_sp0_ar0_test/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.