Instructions to use TransWiC/bert-large-BT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/bert-large-BT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/bert-large-BT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/bert-large-BT") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/bert-large-BT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| Default classification report: | |
| precision recall f1-score support | |
| F 0.8787 0.8840 0.8814 500 | |
| T 0.8833 0.8780 0.8806 500 | |
| accuracy 0.8810 1000 | |
| macro avg 0.8810 0.8810 0.8810 1000 | |
| weighted avg 0.8810 0.8810 0.8810 1000 | |
| ADJ | |
| Accuracy = 0.8888888888888888 | |
| Weighted Recall = 0.8888888888888888 | |
| Weighted Precision = 0.8888888888888888 | |
| Weighted F1 = 0.8888888888888888 | |
| Macro Recall = 0.8885448916408669 | |
| Macro Precision = 0.8885448916408669 | |
| Macro F1 = 0.8885448916408669 | |
| ADV | |
| Accuracy = 0.7333333333333333 | |
| Weighted Recall = 0.7333333333333333 | |
| Weighted Precision = 0.7446428571428572 | |
| Weighted F1 = 0.7357466063348416 | |
| Macro Recall = 0.7361111111111112 | |
| Macro Precision = 0.7276785714285714 | |
| Macro F1 = 0.7285067873303168 | |
| NOUN | |
| Accuracy = 0.8863636363636364 | |
| Weighted Recall = 0.8863636363636364 | |
| Weighted Precision = 0.8867057778822485 | |
| Weighted F1 = 0.8863310155131717 | |
| Macro Recall = 0.8863046129564531 | |
| Macro Precision = 0.8867485455720749 | |
| Macro F1 = 0.8863228603005555 | |
| VERB | |
| Accuracy = 0.8825503355704698 | |
| Weighted Recall = 0.8825503355704698 | |
| Weighted Precision = 0.8827054794520548 | |
| Weighted F1 = 0.8825384312179739 | |
| Macro Recall = 0.8825503355704698 | |
| Macro Precision = 0.8827054794520548 | |
| Macro F1 = 0.882538431217974 | |