Instructions to use EndLessTime/fine_tuned_yelp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_yelp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_yelp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_yelp") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_yelp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6178721bfc4dfa6f304c6c08c70009841ce95dc786f8c5797cbf3fd1eb62f9e
- Size of remote file:
- 5.24 kB
- SHA256:
- 57c4fb475a54984b7d1c0e3ccfb19258407f1466ae04b39fbd2c3a47997ac1e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.