Instructions to use adit94/relevancy_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adit94/relevancy_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adit94/relevancy_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adit94/relevancy_classifier") model = AutoModelForSequenceClassification.from_pretrained("adit94/relevancy_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0b04b8d67da89059724fb3e63d174d73a92143bc69149fae5b499ba8482688
- Size of remote file:
- 268 MB
- SHA256:
- b07d5d6c9c1c64b09266b131af799b9afab7ec27419de4090f7c5df16aece03a
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