Instructions to use Carick/albert-base-v2-wordnet_dataset_two-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Carick/albert-base-v2-wordnet_dataset_two-fine-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Carick/albert-base-v2-wordnet_dataset_two-fine-tuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Carick/albert-base-v2-wordnet_dataset_two-fine-tuned") model = AutoModelForSequenceClassification.from_pretrained("Carick/albert-base-v2-wordnet_dataset_two-fine-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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