Instructions to use EndLessTime/fine_tuned_yelp_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_yelp_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_yelp_callback10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_yelp_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_yelp_callback10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dfa1bf778d6ac6520b7844b70e423635a596501a2e1d1bee352762a52c2f92f
- Size of remote file:
- 5.3 kB
- SHA256:
- 63a556f1c9e88c8939d721544c09596589f8cffee00a2e35d756d65ad7505c9e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.