Instructions to use rg089/bert_newspaper_source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rg089/bert_newspaper_source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rg089/bert_newspaper_source")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rg089/bert_newspaper_source") model = AutoModelForSequenceClassification.from_pretrained("rg089/bert_newspaper_source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "/content/drive/MyDrive/resources/models/paper_classification_model", "tokenizer_class": "BertTokenizer"} |