Instructions to use soniakris/Sonia_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soniakris/Sonia_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="soniakris/Sonia_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("soniakris/Sonia_model") model = AutoModelForMaskedLM.from_pretrained("soniakris/Sonia_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 174 Bytes
e61cd5f | 1 | {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 512, "name_or_path": "bert-base-uncased"} |