Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sibozhu/cp_intent_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibozhu/cp_intent_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sibozhu/cp_intent_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sibozhu/cp_intent_model") model = AutoModelForSequenceClassification.from_pretrained("sibozhu/cp_intent_model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec07_06-35-20_15310242344a
- Dec07_06-39-36_15310242344a
- Dec07_06-47-29_15310242344a
- Dec07_08-54-08_60d3ba883ed9
- Dec07_09-32-43_e0723fb5c02c
- Dec07_09-36-53_e0723fb5c02c
- Dec07_13-31-10_e2f5a8a941a3
- Dec08_04-33-01_394603e5d493
- Dec08_05-03-49_19b59ab9009f
- Dec08_05-22-17_19b59ab9009f
- Dec08_05-37-04_0bd06444a258
- May20_16-12-37_b2e96aa38d49
- May20_16-20-32_b2e96aa38d49
- May20_16-44-01_b2e96aa38d49
- May20_17-09-01_bff4c5b5a02c