Instructions to use shuqi/seed-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shuqi/seed-encoder with Transformers:
# Load model directly from transformers import SEEDEncoderDot_NLL_LN model = SEEDEncoderDot_NLL_LN.from_pretrained("shuqi/seed-encoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "<mask>", "fb_model_kwargs": {}, "name_or_path": "seed_enoder_3_decoder_layers"} | |