Instructions to use arnolfokam/bert-base-uncased-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/bert-base-uncased-pcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/bert-base-uncased-pcm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/bert-base-uncased-pcm") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/bert-base-uncased-pcm") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
0066a02 | 1 | {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |