Instructions to use aekupor/eliciting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aekupor/eliciting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aekupor/eliciting")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aekupor/eliciting") model = AutoModelForSequenceClassification.from_pretrained("aekupor/eliciting") - Notebooks
- Google Colab
- Kaggle
Commit History
Test remove call function 2a6910f
Ashlee Kupor commited on
Split up long utterances 1690680
Ashlee Kupor commited on
Update handler to take in and process vtt file a2b60e7
Ashlee Kupor commited on
make handler and test for it a8d332e
Ashlee Kupor commited on