Text Classification
Transformers
Safetensors
English
bert
agriculture
agronomy
query-classification
farming
corn
soybeans
rag
routing
text-embeddings-inference
Instructions to use zanegraper/ag_query_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zanegraper/ag_query_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zanegraper/ag_query_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zanegraper/ag_query_classifier") model = AutoModelForSequenceClassification.from_pretrained("zanegraper/ag_query_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 949bc5dc5281190bbe24984462626e182ba1904aa03384375a89820347092d26
- Size of remote file:
- 134 MB
- SHA256:
- e44b8b8625975ba115820dcf7a06a13960faafa3b9ef309fac82f6eba751db5d
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