Token Classification
Transformers
PyTorch
xlm-roberta
linguistics
cognition
methaphors
information-extraction
classification
cognitive-linguistics
conceptual-metaphors
Instructions to use lwachowiak/Metaphor-Detection-XLMR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lwachowiak/Metaphor-Detection-XLMR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lwachowiak/Metaphor-Detection-XLMR")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lwachowiak/Metaphor-Detection-XLMR") model = AutoModelForTokenClassification.from_pretrained("lwachowiak/Metaphor-Detection-XLMR") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 3 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot