Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/intent_analysis_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/intent_analysis_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/intent_analysis_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/intent_analysis_v0") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/intent_analysis_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 230d6b523e0ee5e290b58f8bd0dd8ee877f5cc88cb90d78db5b648510660c941
- Size of remote file:
- 5.3 kB
- SHA256:
- f9c1c373d632a2bc9929313e76ca0c1e841f0bf71ce89f143a335894226af7e0
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