Instructions to use lukeleeai/t5-base_cola_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukeleeai/t5-base_cola_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukeleeai/t5-base_cola_")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukeleeai/t5-base_cola_") model = AutoModelForSequenceClassification.from_pretrained("lukeleeai/t5-base_cola_", 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 sha256:74614c21602ab72b202789c6b92f4138d13892c4b92322315f05e403812975cc
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size 2244728744
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