Instructions to use aieng-lab/bert-base-cased_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/bert-base-cased_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/bert-base-cased_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/bert-base-cased_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/bert-base-cased_comment-type-python") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
714a2b1 | 1 2 3 4 5 6 7 8 | {
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|