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:
- 571b08189a1a33797aedd7575e5336f4941258a76ed512d0bc0d48c81affaf8f
- Size of remote file:
- 5.2 kB
- SHA256:
- 821adb42c83d721bf5e8572eaf691bae00d02b000d277ae5849dfb3f8c708c65
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