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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |