Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use bernardocecchetto/QQ_NLP_MODEL_collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bernardocecchetto/QQ_NLP_MODEL_collection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bernardocecchetto/QQ_NLP_MODEL_collection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bernardocecchetto/QQ_NLP_MODEL_collection") model = AutoModelForSequenceClassification.from_pretrained("bernardocecchetto/QQ_NLP_MODEL_collection") - Notebooks
- Google Colab
- Kaggle