Instructions to use k0nv1ct/google-electra-finetuned-text-complexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k0nv1ct/google-electra-finetuned-text-complexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="k0nv1ct/google-electra-finetuned-text-complexity")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("k0nv1ct/google-electra-finetuned-text-complexity") model = AutoModelForTokenClassification.from_pretrained("k0nv1ct/google-electra-finetuned-text-complexity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot