Instructions to use karths/binary_classification_train_TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_TD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_TD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_TD") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_TD") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
e3b0c4a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6939b4a1df4b574395d37dce88b09b02d14162b0790175334232151393fdce39
size 13227360
|