Instructions to use aekupor/probing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aekupor/probing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aekupor/probing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aekupor/probing") model = AutoModelForSequenceClassification.from_pretrained("aekupor/probing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Add truncate end of prior text a1cf18b
Ashlee Kupor commited on
Add in prior text c0139e5
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