Instructions to use EndLessTime/fine_tuned_per_domain_balanced_1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_per_domain_balanced_1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_per_domain_balanced_1.5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_1.5") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_1.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d7962f28b4042cbe7611df4acf9503fe00baf90d916a5aeaec016c072d1a63
- Size of remote file:
- 1.15 GB
- SHA256:
- dee692604a64516af4f8f5ed47fd6b0b29f07b26825d9462dcb85abb9a7b1a9a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.