Instructions to use simonnedved/bert-seg-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonnedved/bert-seg-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="simonnedved/bert-seg-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("simonnedved/bert-seg-v1") model = AutoModelForTokenClassification.from_pretrained("simonnedved/bert-seg-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"model_max_length": 512, "unk_token": "[UNK]", "pad_token": "[PAD]", "cls_token": "[CLS]", "sep_token": "[SEP]", "mask_token": "[MASK]", "tokenizer_class": "PreTrainedTokenizerFast"}
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