Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Zarkit/bert-base-multilingual-uncased-sentiment1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zarkit/bert-base-multilingual-uncased-sentiment1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zarkit/bert-base-multilingual-uncased-sentiment1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zarkit/bert-base-multilingual-uncased-sentiment1") model = AutoModelForSequenceClassification.from_pretrained("Zarkit/bert-base-multilingual-uncased-sentiment1") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot