Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/intent_analysis_xml_5ep_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/intent_analysis_xml_5ep_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/intent_analysis_xml_5ep_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/intent_analysis_xml_5ep_v1") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/intent_analysis_xml_5ep_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de1ce65e71995eaa4454ef10b143ee755288889556243022d90b7832275e431d
- Size of remote file:
- 5.3 kB
- SHA256:
- 73e2c2b391aeffc0c48c4f678bfe5df2505e3631879e85a4a2aa42fa3cb40f59
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