Instructions to use worldbank/bert-twitter-pt-is-hired with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use worldbank/bert-twitter-pt-is-hired with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="worldbank/bert-twitter-pt-is-hired")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("worldbank/bert-twitter-pt-is-hired") model = AutoModelForSequenceClassification.from_pretrained("worldbank/bert-twitter-pt-is-hired", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |