Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/intent_analysis-3label-xml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/intent_analysis-3label-xml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/intent_analysis-3label-xml")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/intent_analysis-3label-xml") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/intent_analysis-3label-xml", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6c3c953372149f6e48a78a0be69dc46e5eccda7ad9ef2841b7c7ff6fb75b6dc
- Size of remote file:
- 5.3 kB
- SHA256:
- d58f5bdb06854704fb9e7171bb244c6cc6f6b90459626090d68e5b7374d0cc7e
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