Instructions to use Teepika/Sentence-Transformer-Check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teepika/Sentence-Transformer-Check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teepika/Sentence-Transformer-Check")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Teepika/Sentence-Transformer-Check") model = AutoModel.from_pretrained("Teepika/Sentence-Transformer-Check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
8192696 | 1 | {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |