Instructions to use spentaur/post-here with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spentaur/post-here with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spentaur/post-here")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spentaur/post-here") model = AutoModelForSequenceClassification.from_pretrained("spentaur/post-here", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 270 Bytes
0b0b04f | 1 | {"do_lower_case": false, "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, "name_or_path": "distilbert-base-multilingual-cased"} |