Text Classification
Transformers
TensorFlow
xlm-roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use Harshitha0813/intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harshitha0813/intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harshitha0813/intent-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harshitha0813/intent-classification") model = AutoModelForSequenceClassification.from_pretrained("Harshitha0813/intent-classification") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
ffbecf2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f2c509a525eb51aebb33fb59c24ee923c1d4c1db23c3ae81fe05ccf354084f7b
size 17082758
|