Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/intent_analysis_2labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/intent_analysis_2labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/intent_analysis_2labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/intent_analysis_2labels") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/intent_analysis_2labels") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a70b35c816e29e912da48a7046ad9aa7c5f628d3fdcaea15de8c69ae3721261
- Size of remote file:
- 5.3 kB
- SHA256:
- dd2b7e807da05bb2fc834c9ed9705ba7942e370cc7910e30868a57f1084951c6
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