Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/intent_analysis_3labels_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/intent_analysis_3labels_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/intent_analysis_3labels_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/intent_analysis_3labels_v1") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/intent_analysis_3labels_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ae9a24ef975f1aa40d3bbb0e093b03fd234daeeeab0df2a8e04870a5d8d632b
- Size of remote file:
- 5.3 kB
- SHA256:
- 51c231a93c1361283d43985818c5e7eee4fa77e8cf8e35c2f71cce8bac984c97
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