Image Feature Extraction
Transformers
Safetensors
PyTorch
English
eden
text-enhancement
grammar-correction
text-rewriting
encoder-decoder
transformer
custom_code
Instructions to use Rybib/EDEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rybib/EDEN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Rybib/EDEN", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rybib/EDEN", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "model_max_length": 512, | |
| "clean_up_tokenization_spaces": false, | |
| "unk_token": "[UNK]", | |
| "pad_token": "[PAD]", | |
| "bos_token": "[BOS]", | |
| "eos_token": "[EOS]" | |
| } |